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Neural characterization in partially observed populations of spiking neurons
Jonathan W. Pillow and Peter E. Latham
Advances in Neural Information Processing Systems 20, 2007


Combined discriminative and generative articulated pose and non-rigid shape estimation
Leonid Sigal, Alexandru Balan and Michael J. Black
Advances in Neural Information Processing Systems 20, 2007


CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation
Luis E. Ortiz
Advances in Neural Information Processing Systems 20, 2007


Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
J. Z. Kolter, Pieter Abbeel and Andrew Y. Ng
Advances in Neural Information Processing Systems 20, 2007


Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike Hohlefeld, Klaus-robert Müller and Vadim V. Nikulin
Advances in Neural Information Processing Systems 20, 2007


Robust Regression with Twinned Gaussian Processes
Andrew Naish-guzman and Sean Holden
Advances in Neural Information Processing Systems 20, 2007


A New View of Automatic Relevance Determination
David P. Wipf and Srikantan S. Nagarajan
Advances in Neural Information Processing Systems 20, 2007


A Bayesian LDA-based model for semi-supervised part-of-speech tagging
Kristina Toutanova and Mark Johnson
Advances in Neural Information Processing Systems 20, 2007


Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
Alessandro Lazaric, Marcello Restelli and Andrea Bonarini
Advances in Neural Information Processing Systems 20, 2007


Modeling image patches with a directed hierarchy of Markov random fields
Simon Osindero and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 20, 2007


Cluster Stability for Finite Samples
Ohad Shamir and Naftali Tishby
Advances in Neural Information Processing Systems 20, 2007


A Game-Theoretic Approach to Apprenticeship Learning
Umar Syed and Robert E. Schapire
Advances in Neural Information Processing Systems 20, 2007


Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
Geoffrey E. Hinton and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 20, 2007


Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
Amir Globerson and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 20, 2007


Sparse deep belief net model for visual area V2
Honglak Lee, Chaitanya Ekanadham and Andrew Y. Ng
Advances in Neural Information Processing Systems 20, 2007


TrueSkill Through Time: Revisiting the History of Chess
Pierre Dangauthier, Ralf Herbrich, Tom Minka and Thore Graepel
Advances in Neural Information Processing Systems 20, 2007


Gaussian Process Models for Link Analysis and Transfer Learning
Kai Yu and Wei Chu
Advances in Neural Information Processing Systems 20, 2007


Hippocampal Contributions to Control: The Third Way
Máté Lengyel and Peter Dayan
Advances in Neural Information Processing Systems 20, 2007


Learning the 2-D Topology of Images
Nicolas L. Roux, Yoshua Bengio, Pascal Lamblin, Marc Joliveau and Balázs Kégl
Advances in Neural Information Processing Systems 20, 2007


Message Passing for Max-weight Independent Set
Sujay Sanghavi, Devavrat Shah and Alan S. Willsky
Advances in Neural Information Processing Systems 20, 2007


Discriminative Batch Mode Active Learning
Yuhong Guo and Dale Schuurmans
Advances in Neural Information Processing Systems 20, 2007


Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach
José M. Hernández-lobato, Tjeerd Dijkstra and Tom Heskes
Advances in Neural Information Processing Systems 20, 2007


Expectation Maximization and Posterior Constraints
Kuzman Ganchev, Ben Taskar and João Gama
Advances in Neural Information Processing Systems 20, 2007


Fitted Q-iteration in continuous action-space MDPs
András Antos, Csaba Szepesvári and Rémi Munos
Advances in Neural Information Processing Systems 20, 2007


Locality and low-dimensions in the prediction of natural experience from fMRI
Francois Meyer and Greg Stephens
Advances in Neural Information Processing Systems 20, 2007


Congruence between model and human attention reveals unique signatures of critical visual events
Robert Peters and Laurent Itti
Advances in Neural Information Processing Systems 20, 2007


Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
Gerald Tesauro, Rajarshi Das, Hoi Chan, Jeffrey Kephart, David Levine, Freeman Rawson and Charles Lefurgy
Advances in Neural Information Processing Systems 20, 2007


Linear programming analysis of loopy belief propagation for weighted matching
Sujay Sanghavi, Dmitry Malioutov and Alan S. Willsky
Advances in Neural Information Processing Systems 20, 2007


Active Preference Learning with Discrete Choice Data
Brochu Eric, Nando D. Freitas and Abhijeet Ghosh
Advances in Neural Information Processing Systems 20, 2007


Predictive Matrix-Variate t Models
Shenghuo Zhu, Kai Yu and Yihong Gong
Advances in Neural Information Processing Systems 20, 2007


Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
Alex Graves, Marcus Liwicki, Horst Bunke, Jürgen Schmidhuber and Santiago Fernández
Advances in Neural Information Processing Systems 20, 2007


Supervised Topic Models
Jon D. Mcauliffe and David M. Blei
Advances in Neural Information Processing Systems 20, 2007


Automatic Generation of Social Tags for Music Recommendation
Douglas Eck, Paul Lamere, Thierry Bertin-mahieux and Stephen Green
Advances in Neural Information Processing Systems 20, 2007


Boosting Algorithms for Maximizing the Soft Margin
Gunnar Rätsch, Manfred K. Warmuth and Karen A. Glocer
Advances in Neural Information Processing Systems 20, 2007


A Probabilistic Approach to Language Change
Alexandre Bouchard-côté, Percy Liang, Dan Klein and Thomas L. Griffiths
Advances in Neural Information Processing Systems 20, 2007


Privacy-Preserving Belief Propagation and Sampling
Michael Kearns, Jinsong Tan and Jennifer Wortman
Advances in Neural Information Processing Systems 20, 2007


A Bayesian Framework for Cross-Situational Word-Learning
Noah Goodman, Joshua B. Tenenbaum and Michael J. Black
Advances in Neural Information Processing Systems 20, 2007


The discriminant center-surround hypothesis for bottom-up saliency
Dashan Gao, Vijay Mahadevan and Nuno Vasconcelos
Advances in Neural Information Processing Systems 20, 2007


DIFFRAC: a discriminative and flexible framework for clustering
Francis R. Bach and Za\"ıd Harchaoui
Advances in Neural Information Processing Systems 20, 2007


Bayes-Adaptive POMDPs
Stephane Ross, Brahim Chaib-draa and Joelle Pineau
Advances in Neural Information Processing Systems 20, 2007


Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
Maryam Mahdaviani and Tanzeem Choudhury
Advances in Neural Information Processing Systems 20, 2007


Efficient Inference for Distributions on Permutations
Jonathan Huang, Carlos Guestrin and Leonidas Guibas
Advances in Neural Information Processing Systems 20, 2007


Fast Variational Inference for Large-scale Internet Diagnosis
Emre Kiciman, David Maltz and John C. Platt
Advances in Neural Information Processing Systems 20, 2007


Non-parametric Modeling of Partially Ranked Data
Guy Lebanon and Yi Mao
Advances in Neural Information Processing Systems 20, 2007


McRank: Learning to Rank Using Multiple Classification and Gradient Boosting
Ping Li, Qiang Wu and Christopher J. Burges
Advances in Neural Information Processing Systems 20, 2007


The Infinite Markov Model
Daichi Mochihashi and Eiichiro Sumita
Advances in Neural Information Processing Systems 20, 2007


Random Features for Large-Scale Kernel Machines
Ali Rahimi and Benjamin Recht
Advances in Neural Information Processing Systems 20, 2007


Cooled and Relaxed Survey Propagation for MRFs
Hai L. Chieu, Wee S. Lee and Yee W. Teh
Advances in Neural Information Processing Systems 20, 2007


New Outer Bounds on the Marginal Polytope
David Sontag and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 20, 2007


Augmented Functional Time Series Representation and Forecasting with Gaussian Processes
Nicolas Chapados and Yoshua Bengio
Advances in Neural Information Processing Systems 20, 2007


Structured Learning with Approximate Inference
Alex Kulesza and Fernando Pereira
Advances in Neural Information Processing Systems 20, 2007


Computing Robust Counter-Strategies
Michael Johanson, Martin Zinkevich and Michael Bowling
Advances in Neural Information Processing Systems 20, 2007


Subspace-Based Face Recognition in Analog VLSI
Gonzalo Carvajal, Waldo Valenzuela and Miguel Figueroa
Advances in Neural Information Processing Systems 20, 2007


Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data
Sabri Boutemedjet, Djemel Ziou and Nizar Bouguila
Advances in Neural Information Processing Systems 20, 2007


Blind channel identification for speech dereverberation using l1-norm sparse learning
Yuanqing Lin, Jingdong Chen, Youngmoo Kim and Daniel D. Lee
Advances in Neural Information Processing Systems 20, 2007


The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information
John Langford and Tong Zhang
Advances in Neural Information Processing Systems 20, 2007


Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization
Xuanlong Nguyen, Martin J. Wainwright and Michael I. Jordan
Advances in Neural Information Processing Systems 20, 2007


Local Algorithms for Approximate Inference in Minor-Excluded Graphs
Kyomin Jung and Devavrat Shah
Advances in Neural Information Processing Systems 20, 2007


An Analysis of Inference with the Universum
Olivier Chapelle, Alekh Agarwal, Fabian H. Sinz and Bernhard Schölkopf
Advances in Neural Information Processing Systems 20, 2007


Object Recognition by Scene Alignment
Bryan Russell, Antonio Torralba, Ce Liu, Rob Fergus and William T. Freeman
Advances in Neural Information Processing Systems 20, 2007


Second Order Bilinear Discriminant Analysis for single trial EEG analysis
Christoforos Christoforou, Paul Sajda and Lucas C. Parra
Advances in Neural Information Processing Systems 20, 2007


Collapsed Variational Inference for HDP
Yee W. Teh, Kenichi Kurihara and Max Welling
Advances in Neural Information Processing Systems 20, 2007


Bayesian Agglomerative Clustering with Coalescents
Yee W. Teh, Daniel J. Hsu and Hal Daume
Advances in Neural Information Processing Systems 20, 2007


The Price of Bandit Information for Online Optimization
Varsha Dani, Sham M. Kakade and Thomas P. Hayes
Advances in Neural Information Processing Systems 20, 2007


Catching Up Faster in Bayesian Model Selection and Model Averaging
Tim V. Erven, Steven D. Rooij and Peter Grünwald
Advances in Neural Information Processing Systems 20, 2007


Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
Ben Carterette and Rosie Jones
Advances in Neural Information Processing Systems 20, 2007


Hidden Common Cause Relations in Relational Learning
Ricardo Silva, Wei Chu and Zoubin Ghahramani
Advances in Neural Information Processing Systems 20, 2007


A General Boosting Method and its Application to Learning Ranking Functions for Web Search
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen and Gordon Sun
Advances in Neural Information Processing Systems 20, 2007


Discriminative K-means for Clustering
Jieping Ye, Zheng Zhao and Mingrui Wu
Advances in Neural Information Processing Systems 20, 2007


A Kernel Statistical Test of Independence
Arthur Gretton, Kenji Fukumizu, Choon H. Teo, Le Song, Bernhard Schölkopf and Alex J. Smola
Advances in Neural Information Processing Systems 20, 2007


The Tradeoffs of Large Scale Learning
Olivier Bousquet and Léon Bottou
Advances in Neural Information Processing Systems 20, 2007


The Distribution Family of Similarity Distances
Gertjan Burghouts, Arnold Smeulders and Jan-mark Geusebroek
Advances in Neural Information Processing Systems 20, 2007


A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses
Massimiliano Giulioni, Mario Pannunzi, Davide Badoni, Vittorio Dante and Paolo D. Giudice
Advances in Neural Information Processing Systems 20, 2007


Sequential Hypothesis Testing under Stochastic Deadlines
Peter Frazier and Angela J. Yu
Advances in Neural Information Processing Systems 20, 2007


Discriminative Keyword Selection Using Support Vector Machines
Fred Richardson and William M. Campbell
Advances in Neural Information Processing Systems 20, 2007


Catching Change-points with Lasso
Céline Levy-leduc and Za\"ıd Harchaoui
Advances in Neural Information Processing Systems 20, 2007


Adaptive Online Gradient Descent
Elad Hazan, Alexander Rakhlin and Peter L. Bartlett
Advances in Neural Information Processing Systems 20, 2007


Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria
Elad Hazan and Satyen Kale
Advances in Neural Information Processing Systems 20, 2007


Iterative Non-linear Dimensionality Reduction with Manifold Sculpting
Michael Gashler, Dan Ventura and Tony Martinez
Advances in Neural Information Processing Systems 20, 2007


Regret Minimization in Games with Incomplete Information
Martin Zinkevich, Michael Johanson, Michael Bowling and Carmelo Piccione
Advances in Neural Information Processing Systems 20, 2007


Modeling Natural Sounds with Modulation Cascade Processes
Richard Turner and Maneesh Sahani
Advances in Neural Information Processing Systems 20, 2007


A learning framework for nearest neighbor search
Lawrence Cayton and Sanjoy Dasgupta
Advances in Neural Information Processing Systems 20, 2007


Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
Ambuj Tewari and Peter L. Bartlett
Advances in Neural Information Processing Systems 20, 2007


Distributed Inference for Latent Dirichlet Allocation
David Newman, Padhraic Smyth, Max Welling and Arthur U. Asuncion
Advances in Neural Information Processing Systems 20, 2007


Variational inference for Markov jump processes
Manfred Opper and Guido Sanguinetti
Advances in Neural Information Processing Systems 20, 2007


Modelling motion primitives and their timing in biologically executed movements
Ben Williams, Marc Toussaint and Amos J. Storkey
Advances in Neural Information Processing Systems 20, 2007


The Noisy-Logical Distribution and its Application to Causal Inference
Hongjing Lu and Alan L. Yuille
Advances in Neural Information Processing Systems 20, 2007


Efficient Bayesian Inference for Dynamically Changing Graphs
Ozgur Sumer, Umut Acar, Alexander T. Ihler and Ramgopal R. Mettu
Advances in Neural Information Processing Systems 20, 2007


Configuration Estimates Improve Pedestrian Finding
Duan Tran and David A. Forsyth
Advances in Neural Information Processing Systems 20, 2007


Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
Dejan Pecevski, Wolfgang Maass and Robert A. Legenstein
Advances in Neural Information Processing Systems 20, 2007


Mining Internet-Scale Software Repositories
Erik Linstead, Paul Rigor, Sushil Bajracharya, Cristina Lopes and Pierre F. Baldi
Advances in Neural Information Processing Systems 20, 2007


Online Linear Regression and Its Application to Model-Based Reinforcement Learning
Alexander L. Strehl and Michael L. Littman
Advances in Neural Information Processing Systems 20, 2007


Discriminative Log-Linear Grammars with Latent Variables
Slav Petrov and Dan Klein
Advances in Neural Information Processing Systems 20, 2007


Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains
Andrea Lecchini-visintini, John Lygeros and Jan Maciejowski
Advances in Neural Information Processing Systems 20, 2007


Learning Bounds for Domain Adaptation
John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira and Jennifer Wortman
Advances in Neural Information Processing Systems 20, 2007


Efficient multiple hyperparameter learning for log-linear models
Chuan-sheng Foo, Chuong B. Do and Andrew Y. Ng
Advances in Neural Information Processing Systems 20, 2007


Hierarchical Penalization
Marie Szafranski, Yves Grandvalet and Pierre Morizet-mahoudeaux
Advances in Neural Information Processing Systems 20, 2007


COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking
Markus Weimer, Alexandros Karatzoglou, Quoc V. Le and Alex J. Smola
Advances in Neural Information Processing Systems 20, 2007


Extending position/phase-shift tuning to motion energy neurons improves velocity discrimination
Yiu M. Lam and Bertram E. Shi
Advances in Neural Information Processing Systems 20, 2007


Learning to classify complex patterns using a VLSI network of spiking neurons
Srinjoy Mitra, Giacomo Indiveri and Stefano Fusi
Advances in Neural Information Processing Systems 20, 2007


FilterBoost: Regression and Classification on Large Datasets
Joseph K. Bradley and Robert E. Schapire
Advances in Neural Information Processing Systems 20, 2007


Competition Adds Complexity
Judy Goldsmith and Martin Mundhenk
Advances in Neural Information Processing Systems 20, 2007


Agreement-Based Learning
Percy Liang, Dan Klein and Michael I. Jordan
Advances in Neural Information Processing Systems 20, 2007


Modeling homophily and stochastic equivalence in symmetric relational data
Peter Hoff
Advances in Neural Information Processing Systems 20, 2007


Exponential Family Predictive Representations of State
David Wingate and Satinder S. Baveja
Advances in Neural Information Processing Systems 20, 2007


A Risk Minimization Principle for a Class of Parzen Estimators
Kristiaan Pelckmans, Johan Suykens and Bart D. Moor
Advances in Neural Information Processing Systems 20, 2007


Stable Dual Dynamic Programming
Tao Wang, Michael Bowling, Dale Schuurmans and Daniel J. Lizotte
Advances in Neural Information Processing Systems 20, 2007


Convex Relaxations of Latent Variable Training
Yuhong Guo and Dale Schuurmans
Advances in Neural Information Processing Systems 20, 2007


Multiple-Instance Pruning For Learning Efficient Cascade Detectors
Cha Zhang and Paul A. Viola
Advances in Neural Information Processing Systems 20, 2007


Measuring Neural Synchrony by Message Passing
Justin Dauwels, François Vialatte, Tomasz Rutkowski and Andrzej S. Cichocki
Advances in Neural Information Processing Systems 20, 2007


One-Pass Boosting
Zafer Barutcuoglu, Phil Long and Rocco Servedio
Advances in Neural Information Processing Systems 20, 2007


Topmoumoute Online Natural Gradient Algorithm
Nicolas L. Roux, Pierre-antoine Manzagol and Yoshua Bengio
Advances in Neural Information Processing Systems 20, 2007


Kernel Measures of Conditional Dependence
Kenji Fukumizu, Arthur Gretton, Xiaohai Sun and Bernhard Schölkopf
Advances in Neural Information Processing Systems 20, 2007


Continuous Time Particle Filtering for fMRI
Lawrence Murray and Amos J. Storkey
Advances in Neural Information Processing Systems 20, 2007


The Generalized FITC Approximation
Andrew Naish-guzman and Sean Holden
Advances in Neural Information Processing Systems 20, 2007


Learning Visual Attributes
Vittorio Ferrari and Andrew Zisserman
Advances in Neural Information Processing Systems 20, 2007


Learning and using relational theories
Charles Kemp, Noah Goodman and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 20, 2007


Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis
Venkat Chandrasekaran, Alan S. Willsky and Jason K. Johnson
Advances in Neural Information Processing Systems 20, 2007


On Ranking in Survival Analysis: Bounds on the Concordance Index
Harald Steck, Balaji Krishnapuram, Cary Dehing-oberije, Philippe Lambin and Vikas C. Raykar
Advances in Neural Information Processing Systems 20, 2007


Efficient Convex Relaxation for Transductive Support Vector Machine
Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King and Michael Lyu
Advances in Neural Information Processing Systems 20, 2007


Collective Inference on Markov Models for Modeling Bird Migration
M.a. S. Elmohamed, Dexter Kozen and Daniel R. Sheldon
Advances in Neural Information Processing Systems 20, 2007


A Randomized Algorithm for Large Scale Support Vector Learning
Krishnan Kumar, Chiru Bhattacharya and Ramesh Hariharan
Advances in Neural Information Processing Systems 20, 2007


Temporal Difference Updating without a Learning Rate
Marcus Hutter and Shane Legg
Advances in Neural Information Processing Systems 20, 2007


Nearest-Neighbor-Based Active Learning for Rare Category Detection
Jingrui He and Jaime G. Carbonell
Advances in Neural Information Processing Systems 20, 2007


Support Vector Machine Classification with Indefinite Kernels
Ronny Luss and Alexandre D'aspremont
Advances in Neural Information Processing Systems 20, 2007


Bayesian Co-Training
Shipeng Yu, Balaji Krishnapuram, Harald Steck, R. B. Rao and Rómer Rosales
Advances in Neural Information Processing Systems 20, 2007


How SVMs can estimate quantiles and the median
Andreas Christmann and Ingo Steinwart
Advances in Neural Information Processing Systems 20, 2007


Colored Maximum Variance Unfolding
Le Song, Arthur Gretton, Karsten M. Borgwardt and Alex J. Smola
Advances in Neural Information Processing Systems 20, 2007


Progressive mixture rules are deviation suboptimal
Jean-yves Audibert
Advances in Neural Information Processing Systems 20, 2007


GRIFT: A graphical model for inferring visual classification features from human data
Michael Ross and Andrew Cohen
Advances in Neural Information Processing Systems 20, 2007


Bundle Methods for Machine Learning
Quoc V. Le, Alex J. Smola and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 20, 2007


A neural network implementing optimal state estimation based on dynamic spike train decoding
Omer Bobrowski, Ron Meir, Shy Shoham and Yonina Eldar
Advances in Neural Information Processing Systems 20, 2007


Multi-Task Learning via Conic Programming
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama and Kiyoshi Asai
Advances in Neural Information Processing Systems 20, 2007


A probabilistic model for generating realistic lip movements from speech
Gwenn Englebienne, Tim Cootes and Magnus Rattray
Advances in Neural Information Processing Systems 20, 2007


Heterogeneous Component Analysis
Shigeyuki Oba, Motoaki Kawanabe, Klaus-robert Müller and Shin Ishii
Advances in Neural Information Processing Systems 20, 2007


A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections
Ping Li and Trevor J. Hastie
Advances in Neural Information Processing Systems 20, 2007


Parallelizing Support Vector Machines on Distributed Computers
Kaihua Zhu, Hao Wang, Hongjie Bai, Jian Li, Zhihuan Qiu, Hang Cui and Edward Y. Chang
Advances in Neural Information Processing Systems 20, 2007


Multi-task Gaussian Process Prediction
Edwin V. Bonilla, Kian M. Chai and Christopher Williams
Advances in Neural Information Processing Systems 20, 2007


Optimal ROC Curve for a Combination of Classifiers
Marco Barreno, Alvaro Cardenas and J. D. Tygar
Advances in Neural Information Processing Systems 20, 2007


Consistent Minimization of Clustering Objective Functions
Ulrike V. Luxburg, Stefanie Jegelka, Michael Kaufmann and Sébastien Bubeck
Advances in Neural Information Processing Systems 20, 2007


Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons
Lars Buesing and Wolfgang Maass
Advances in Neural Information Processing Systems 20, 2007


SpAM: Sparse Additive Models
Han Liu, Larry Wasserman, John D. Lafferty and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 20, 2007


Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing
Yuanhao Chen, Long Zhu, Chenxi Lin, Hongjiang Zhang and Alan L. Yuille
Advances in Neural Information Processing Systems 20, 2007


Optimal models of sound localization by barn owls
Brian J. Fischer
Advances in Neural Information Processing Systems 20, 2007


Learning Horizontal Connections in a Sparse Coding Model of Natural Images
Pierre Garrigues and Bruno A. Olshausen
Advances in Neural Information Processing Systems 20, 2007


Comparing Bayesian models for multisensory cue combination without mandatory integration
Ulrik Beierholm, Ladan Shams, Wei J. Ma and Konrad Koerding
Advances in Neural Information Processing Systems 20, 2007


Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
John P. Cunningham, Byron M. Yu and Krishna V. Shenoy
Advances in Neural Information Processing Systems 20, 2007


Theoretical Analysis of Heuristic Search Methods for Online POMDPs
Stephane Ross, Joelle Pineau and Brahim Chaib-draa
Advances in Neural Information Processing Systems 20, 2007


Experience-Guided Search: A Theory of Attentional Control
David Baldwin and Michael C. Mozer
Advances in Neural Information Processing Systems 20, 2007


Scan Strategies for Meteorological Radars
Victoria Manfredi and Jim Kurose
Advances in Neural Information Processing Systems 20, 2007


Boosting the Area under the ROC Curve
Phil Long and Rocco Servedio
Advances in Neural Information Processing Systems 20, 2007


A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Byron Boots, Geoffrey J. Gordon and Sajid M. Siddiqi
Advances in Neural Information Processing Systems 20, 2007


Retrieved context and the discovery of semantic structure
Vinayak Rao and Marc Howard
Advances in Neural Information Processing Systems 20, 2007


Better than least squares: comparison of objective functions for estimating linear-nonlinear models
Tatyana Sharpee
Advances in Neural Information Processing Systems 20, 2007


The Infinite Gamma-Poisson Feature Model
Michalis K. Titsias
Advances in Neural Information Processing Systems 20, 2007


Random Sampling of States in Dynamic Programming
Chris Atkeson and Benjamin Stephens
Advances in Neural Information Processing Systems 20, 2007


Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations
M. M. Mahmud and Sylvian Ray
Advances in Neural Information Processing Systems 20, 2007


Convex Clustering with Exemplar-Based Models
Danial Lashkari and Polina Golland
Advances in Neural Information Processing Systems 20, 2007


Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Matthias Bethge and Philipp Berens
Advances in Neural Information Processing Systems 20, 2007


Incremental Natural Actor-Critic Algorithms
Shalabh Bhatnagar, Mohammad Ghavamzadeh, Mark Lee and Richard S. Sutton
Advances in Neural Information Processing Systems 20, 2007


Statistical Analysis of Semi-Supervised Regression
Larry Wasserman and John D. Lafferty
Advances in Neural Information Processing Systems 20, 2007


Markov Chain Monte Carlo with People
Adam Sanborn and Thomas L. Griffiths
Advances in Neural Information Processing Systems 20, 2007


Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Sebastian Gerwinn, Matthias Bethge, Jakob H. Macke and Matthias Seeger
Advances in Neural Information Processing Systems 20, 2007


Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
Sennay Ghebreab, Arnold Smeulders and Pieter Adriaans
Advances in Neural Information Processing Systems 20, 2007


An Analysis of Convex Relaxations for MAP Estimation
Pawan Mudigonda, Vladimir Kolmogorov and Philip Torr
Advances in Neural Information Processing Systems 20, 2007


Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons
Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, Jean-jeacques Slotine and Rodney J. Douglas
Advances in Neural Information Processing Systems 20, 2007


What makes some POMDP problems easy to approximate?
Wee S. Lee, Nan Rong and Daniel J. Hsu
Advances in Neural Information Processing Systems 20, 2007


Scene Segmentation with CRFs Learned from Partially Labeled Images
Bill Triggs and Jakob J. Verbeek
Advances in Neural Information Processing Systems 20, 2007


On higher-order perceptron algorithms
Claudio Gentile, Fabio Vitale and Cristian Brotto
Advances in Neural Information Processing Systems 20, 2007


Receptive Fields without Spike-Triggering
Guenther Zeck, Matthias Bethge and Jakob H. Macke
Advances in Neural Information Processing Systems 20, 2007


Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul V. Buenau and Motoaki Kawanabe
Advances in Neural Information Processing Systems 20, 2007


Classification via Minimum Incremental Coding Length (MICL)
John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma and Heung-yeung Shum
Advances in Neural Information Processing Systems 20, 2007


Anytime Induction of Cost-sensitive Trees
Saher Esmeir and Shaul Markovitch
Advances in Neural Information Processing Systems 20, 2007


Learning with Transformation Invariant Kernels
Christian Walder and Olivier Chapelle
Advances in Neural Information Processing Systems 20, 2007


Selecting Observations against Adversarial Objectives
Andreas Krause, Brendan Mcmahan, Carlos Guestrin and Anupam Gupta
Advances in Neural Information Processing Systems 20, 2007


Stability Bounds for Non-i.i.d. Processes
Mehryar Mohri and Afshin Rostamizadeh
Advances in Neural Information Processing Systems 20, 2007


Compressed Regression
Shuheng Zhou, Larry Wasserman and John D. Lafferty
Advances in Neural Information Processing Systems 20, 2007


HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation
Bing Zhao and Eric P. Xing
Advances in Neural Information Processing Systems 20, 2007


A Spectral Regularization Framework for Multi-Task Structure Learning
Andreas Argyriou, Massimiliano Pontil, Yiming Ying and Charles A. Micchelli
Advances in Neural Information Processing Systems 20, 2007


A general agnostic active learning algorithm
Sanjoy Dasgupta, Claire Monteleoni and Daniel J. Hsu
Advances in Neural Information Processing Systems 20, 2007


An online Hebbian learning rule that performs Independent Component Analysis
Claudia Clopath, André Longtin and Wulfram Gerstner
Advances in Neural Information Processing Systems 20, 2007


Inferring Elapsed Time from Stochastic Neural Processes
Misha Ahrens and Maneesh Sahani
Advances in Neural Information Processing Systems 20, 2007


Regularized Boost for Semi-Supervised Learning
Ke Chen and Shihai Wang
Advances in Neural Information Processing Systems 20, 2007


Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms
Dominik Endres, Mike Oram, Johannes Schindelin and Peter Foldiak
Advances in Neural Information Processing Systems 20, 2007


Ensemble Clustering using Semidefinite Programming
Vikas Singh, Lopamudra Mukherjee, Jiming Peng and Jinhui Xu
Advances in Neural Information Processing Systems 20, 2007


Learning the structure of manifolds using random projections
Yoav Freund, Sanjoy Dasgupta, Mayank Kabra and Nakul Verma
Advances in Neural Information Processing Systems 20, 2007


Kernels on Attributed Pointsets with Applications
Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharya and K. Ramakrishnan
Advances in Neural Information Processing Systems 20, 2007


Bayesian Policy Learning with Trans-Dimensional MCMC
Matthew Hoffman, Arnaud Doucet, Nando D. Freitas and Ajay Jasra
Advances in Neural Information Processing Systems 20, 2007


Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Charlie Frogner and Avi Pfeffer
Advances in Neural Information Processing Systems 20, 2007


Sparse Feature Learning for Deep Belief Networks
Marc'aurelio Ranzato, Y-lan Boureau and Yann L. Cun
Advances in Neural Information Processing Systems 20, 2007


An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
Devarajan Sridharan, Brian Percival, John Arthur and Kwabena A. Boahen
Advances in Neural Information Processing Systems 20, 2007


Receding Horizon Differential Dynamic Programming
Yuval Tassa, Tom Erez and William D. Smart
Advances in Neural Information Processing Systems 20, 2007


Random Projections for Manifold Learning
Chinmay Hegde, Michael Wakin and Richard Baraniuk
Advances in Neural Information Processing Systems 20, 2007


People Tracking with the Laplacian Eigenmaps Latent Variable Model
Zhengdong Lu, Cristian Sminchisescu and Miguel Á. Carreira-perpiñán
Advances in Neural Information Processing Systems 20, 2007


Variational Inference for Diffusion Processes
Cédric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford and John S. Shawe-taylor
Advances in Neural Information Processing Systems 20, 2007


Learning with Tree-Averaged Densities and Distributions
Sergey Kirshner
Advances in Neural Information Processing Systems 20, 2007


Loop Series and Bethe Variational Bounds in Attractive Graphical Models
Alan S. Willsky, Erik B. Sudderth and Martin J. Wainwright
Advances in Neural Information Processing Systems 20, 2007


Estimating disparity with confidence from energy neurons
Eric K. Tsang and Bertram E. Shi
Advances in Neural Information Processing Systems 20, 2007


Predicting human gaze using low-level saliency combined with face detection
Moran Cerf, Jonathan Harel, Wolfgang Einhaeuser and Christof Koch
Advances in Neural Information Processing Systems 20, 2007


Multiple-Instance Active Learning
Burr Settles, Mark Craven and Soumya Ray
Advances in Neural Information Processing Systems 20, 2007


Ultrafast Monte Carlo for Statistical Summations
Charles L. Isbell, Michael P. Holmes and Alexander G. Gray
Advances in Neural Information Processing Systems 20, 2007


Density Estimation under Independent Similarly Distributed Sampling Assumptions
Tony Jebara, Yingbo Song and Kapil Thadani
Advances in Neural Information Processing Systems 20, 2007


Testing for Homogeneity with Kernel Fisher Discriminant Analysis
Moulines Eric, Francis R. Bach and Za\"ıd Harchaoui
Advances in Neural Information Processing Systems 20, 2007


Feature Selection Methods for Improving Protein Structure Prediction with Rosetta
Ben Blum, Rhiju Das, Philip Bradley, David Baker, Michael I. Jordan and David Tax
Advances in Neural Information Processing Systems 20, 2007


On Sparsity and Overcompleteness in Image Models
Pietro Berkes, Richard Turner and Maneesh Sahani
Advances in Neural Information Processing Systems 20, 2007


Convex Learning with Invariances
Choon H. Teo, Amir Globerson, Sam T. Roweis and Alex J. Smola
Advances in Neural Information Processing Systems 20, 2007


Learning Monotonic Transformations for Classification
Andrew Howard and Tony Jebara
Advances in Neural Information Processing Systems 20, 2007


Sparse Overcomplete Latent Variable Decomposition of Counts Data
Madhusudana Shashanka, Bhiksha Raj and Paris Smaragdis
Advances in Neural Information Processing Systems 20, 2007


Semi-Supervised Multitask Learning
Qiuhua Liu, Xuejun Liao and Lawrence Carin
Advances in Neural Information Processing Systems 20, 2007


EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection
Pierre Ferrez and José Millán
Advances in Neural Information Processing Systems 20, 2007


Efficient Principled Learning of Thin Junction Trees
Anton Chechetka and Carlos Guestrin
Advances in Neural Information Processing Systems 20, 2007


Spatial Latent Dirichlet Allocation
Xiaogang Wang and Eric Grimson
Advances in Neural Information Processing Systems 20, 2007


A Bayesian Model of Conditioned Perception
Alan Stocker and Eero P. Simoncelli
Advances in Neural Information Processing Systems 20, 2007


Probabilistic Matrix Factorization
Andriy Mnih and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 20, 2007


The Value of Labeled and Unlabeled Examples when the Model is Imperfect
Kaushik Sinha and Mikhail Belkin
Advances in Neural Information Processing Systems 20, 2007


The rat as particle filter
Aaron C. Courville and Nathaniel D. Daw
Advances in Neural Information Processing Systems 20, 2007


Infinite State Bayes-Nets for Structured Domains
Max Welling, Ian Porteous and Evgeniy Bart
Advances in Neural Information Processing Systems 20, 2007