Search Machine Learning Repository:
All publications at Proceedings of the 27th International Conference on Machine Learning (ICML-10)
authors venues years



Modeling Interaction via the Principle of Maximum Causal Entropy
Brian D. Ziebart, J. A. Bagnell and Anind K. Dey
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Conditional Topic Random Fields
Jun Zhu and Eric P. Xing
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Cognitive Models of Test-Item Effects in Human Category Learning
Xiaojin Zhu, Bryan R. Gibson, Kwang-sung Jun, Timothy T. Rogers, Joseph Harrison and Chuck Kalish
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


OTL: A Framework of Online Transfer Learning
Peilin Zhao and Steven C. Hoi
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Projection Penalties: Dimension Reduction without Loss
Yi Zhang and Jeff G. Schneider
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Improved Local Coordinate Coding using Local Tangents
Kai Yu and Tong Zhang
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Convergence of Least Squares Temporal Difference Methods Under General Conditions
Huizhen Yu
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Online Learning for Group Lasso
Haiqin Yang, Zenglin Xu, Irwin King and Michael R. Lyu
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning from Noisy Side Information by Generalized Maximum Entropy Model
Tianbao Yang, Rong Jin and Anil K. Jain
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Sparse Gaussian Process Regression via L1 Penalization
Feng Yan and Yuan (. Qi
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Simple and Efficient Multiple Kernel Learning by Group Lasso
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King and Michael R. Lyu
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Detecting Large-Scale System Problems by Mining Console Logs
Wei Xu, Ling Huang, Armando Fox, David A. Patterson and Michael I. Jordan
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Classes of Multiagent Q-learning Dynamics with epsilon-greedy Exploration
Michael Wunder, Michael L. Littman and Monica Babes
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Online Streaming Feature Selection
Xindong Wu, Kui Yu, Hao Wang and Wei Ding
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling
Sinead Williamson, Chong Wang, Katherine A. Heller and David M. Blei
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


A New Analysis of Co-Training
Wei Wang and Zhi-hua Zhou
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Sequential Projection Learning for Hashing with Compact Codes
Jun Wang, Sanjiv Kumar and Shih-fu Chang
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Multi-Class Pegasos on a Budget
Zhuang Wang, Koby Crammer and Slobodan Vucetic
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Generalizing Apprenticeship Learning across Hypothesis Classes
Thomas J. Walsh, Kaushik Subramanian, Michael L. Littman and Carlos Diuk
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data
Julia E. Vogt, Sandhya Prabhakaran, Thomas J. Fuchs and Volker Roth
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Non-Local Contrastive Objectives
David Vickrey, Cliff C. Lin and Daphne Koller
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


One-sided Support Vector Regression for Multiclass Cost-sensitive Classification
Han-hsing Tu and Hsuan-tien Lin
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices
Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama and Hisashi Kashima
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


An Analysis of the Convergence of Graph Laplacians
Daniel Ting, Ling Huang and Michael I. Jordan
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Least-Squares Policy Iteration: Bias-Variance Trade-off in Control Problems
Christophe Thiery and Bruno Scherrer
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


A DC Programming Approach for Sparse Eigenvalue Problem
Mamadou Thiao, Pham D. Tao and Le An
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Deep networks for robust visual recognition
Yichuan Tang and Chris Eliasmith
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets
Mingkui Tan, Li Wang and Ivor W. Tsang
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Total Variation, Cheeger Cuts
Xavier Bresson and Arthur D. Szlam
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Model-based reinforcement learning with nearly tight exploration complexity bounds
Istvan Szita and Csaba Szepesvári
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
Zeeshan Syed and Ilan Rubinfeld
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Niranjan Srinivas, Andreas Krause, Matthias Seeger and Sham M. Kakade
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Internal Rewards Mitigate Agent Boundedness
Jonathan Sorg, Satinder P. Singh and Richard L. Lewis
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


COFFIN: A Computational Framework for Linear SVMs
Sören Sonnenburg and Vojtech Franc
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Hilbert Space Embeddings of Hidden Markov Models
Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon and Alex J. Smola
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Climbing the Tower of Babel: Unsupervised Multilingual Learning
Benjamin Snyder and Regina Barzilay
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning optimally diverse rankings over large document collections
Aleksandrs Slivkins, Filip Radlinski and Sreenivas Gollapudi
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Application of Machine Learning To Epileptic Seizure Detection
Ali H. Shoeb and John V. Guttag
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Gaussian Covariance and Scalable Variational Inference
Matthias Seeger
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Should one compute the Temporal Difference fix point or minimize the Bellman Residual? The unified oblique projection view
Bruno Scherrer
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Active Risk Estimation
Christoph Sawade, Niels Landwehr, Steffen Bickel and Tobias Scheffer
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning Deep Boltzmann Machines using Adaptive MCMC
Ruslan Salakhutdinov
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Online Prediction with Privacy
Jun Sakuma and Hiromi Arai
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Gaussian Process Change Point Models
Yunus Saatci, Ryan D. Turner and Carl E. Rasmussen
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Clustering processes
Daniil Ryabko
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


SVM Classifier Estimation from Group Probabilities
Stefan Rüping
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


A fast natural Newton method
Nicolas L. Roux and Andrew W. Fitzgibbon
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Spherical Topic Models
Joseph Reisinger, Austin Waters, Bryan Silverthorn and Raymond J. Mooney
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Music Plus One and Machine Learning
Christopher Raphael
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Variable Selection in Model-Based Clustering: To Do or To Facilitate
Leonard Poon, Nevin L. Zhang, Tao Chen and Yi Wang
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
Marek Petrik, Gavin Taylor, Ronald Parr and Shlomo Zilberstein
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Boosting for Regression Transfer
David Pardoe and Peter Stone
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


The Margin Perceptron with Unlearning
Constantinos Panagiotakopoulos and Petroula Tsampouka
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


A Stick-Breaking Construction of the Beta Process
John W. Paisley, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg and Lawrence Carin
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Multiagent Inductive Learning: an Argumentation-based Approach
Santiago Ontañón and Enric Plaza
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Multiple Non-Redundant Spectral Clustering Views
Donglin Niu, Jennifer G. Dy and Michael I. Jordan
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Estimation of (near) low-rank matrices with noise and high-dimensional scaling
Sahand Negahban and Martin J. Wainwright
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Implicit Regularization in Variational Bayesian Matrix Factorization
Shinichi Nakajima and Masashi Sugiyama
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Rectified Linear Units Improve Restricted Boltzmann Machines
Vinod Nair and Geoffrey E. Hinton
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Nonparametric Return Distribution Approximation for Reinforcement Learning
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya and Toshiyuki Tanaka
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Deep Supervised t-Distributed Embedding
Martin R. Min, Laurens Maaten, Zineng Yuan, Anthony J. Bonner and Zhaolei Zhang
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning Efficiently with Approximate Inference via Dual Losses
Ofer Meshi, David Sontag, Amir Globerson and Tommi S. Jaakkola
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Metric Learning to Rank
Brian Mcfee and Gert R. Lanckriet
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Exploiting Data-Independence for Fast Belief-Propagation
Julian J. Mcauley and Tibério S. Caetano
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


From Transformation-Based Dimensionality Reduction to Feature Selection
Mahdokht Masaeli, Jennifer G. Dy and Glenn M. Fung
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning the Linear Dynamical System with ASOS
James Martens
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Deep learning via Hessian-free optimization
James Martens
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Constructing States for Reinforcement Learning
M. Mahmud
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Toward Off-Policy Learning Control with Function Approximation
Hamid R. Maei, Csaba Szepesvári, Shalabh Bhatnagar and Richard S. Sutton
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Mixed Membership Matrix Factorization
Lester W. Mackey, David Weiss and Michael I. Jordan
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Restricted Boltzmann Machines are Hard to Approximately Evaluate or Simulate
Philip M. Long and Rocco Servedio
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis
Daniel J. Lizotte, Michael H. Bowling and Susan A. Murphy
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Robust Graph Mode Seeking by Graph Shift
Hairong Liu and Shuicheng Yan
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning Temporal Causal Graphs for Relational Time-Series Analysis
Yan Liu, Alexandru Niculescu-mizil, Aurelie C. Lozano and Yong Lu
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Robust Subspace Segmentation by Low-Rank Representation
Guangcan Liu, Zhouchen Lin and Yong Yu
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Large Graph Construction for Scalable Semi-Supervised Learning
Wei Liu, Junfeng He and Shih-fu Chang
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Power Iteration Clustering
Frank Lin and William W. Cohen
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


On the Interaction between Norm and Dimensionality: Multiple Regimes in Learning
Percy Liang and Nati Srebro
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning Programs: A Hierarchical Bayesian Approach
Percy Liang, Michael I. Jordan and Dan Klein
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Budgeted Distribution Learning of Belief Net Parameters
Liuyang Li, Barnabás Póczos, Csaba Szepesvári and Russell Greiner
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Making Large-Scale Nystr{\"o}m Approximation Possible
Mu Li, James T. Kwok and Bao-liang Lu
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Finite-Sample Analysis of LSTD
Alessandro Lazaric, Mohammad Ghavamzadeh and Rémi Munos
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Analysis of a Classification-based Policy Iteration Algorithm
Alessandro Lazaric, Mohammad Ghavamzadeh and Rémi Munos
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Bayesian Multi-Task Reinforcement Learning
Alessandro Lazaric and Mohammad Ghavamzadeh
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Supervised Aggregation of Classifiers using Artificial Prediction Markets
Nathan Lay and Adrian Barbu
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
Tobias Lang and Marc Toussaint
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Implicit Online Learning
Brian Kulis and Peter L. Bartlett
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Inverse Optimal Control with Linearly-Solvable MDPs
Krishnamurthy Dvijotham and Emanuel Todorov
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Submodular Dictionary Selection for Sparse Representation
Andreas Krause and Volkan Cevher
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


On Sparse Nonparametric Conditional Covariance Selection
Mladen Kolar, Ankur P. Parikh and Eric P. Xing
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning Markov Logic Networks Using Structural Motifs
Stanley Kok and Pedro Domingos
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity
Seyoung Kim and Eric P. Xing
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Gaussian Processes Multiple Instance Learning
Minyoung Kim and Fernando Torre
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Local Minima Embedding
Minyoung Kim and Fernando Torre
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


A scalable trust-region algorithm with application to mixed-norm regression
Dongmin Kim, Suvrit Sra and Inderjit S. Dhillon
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Efficient Selection of Multiple Bandit Arms: Theory and Practice
Shivaram Kalyanakrishnan and Peter Stone
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Accelerated dual decomposition for MAP inference
Vladimir Jojic, Stephen Gould and Daphne Koller
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


3D Convolutional Neural Networks for Human Action Recognition
Shuiwang Ji, Wei Xu, Ming Yang and Kai Yu
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Proximal Methods for Sparse Hierarchical Dictionary Learning
Rodolphe Jenatton, Julien Mairal, Francis R. Bach and Guillaume R. Obozinski
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Telling cause from effect based on high-dimensional observations
Dominik Janzing, Patrik O. Hoyer and Bernhard Schölkopf
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


A Simple Algorithm for Nuclear Norm Regularized Problems
Martin Jaggi and Marek Sulovsk\'y
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


On learning with kernels for unordered pairs
Martial Hue and Jean-philippe Vert
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning Hierarchical Riffle Independent Groupings from Rankings
Jonathan Huang and Carlos Guestrin
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Multi-Task Learning of Gaussian Graphical Models
Jean Honorio and Dimitris Samaras
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Bayesian Nonparametric Matrix Factorization for Recorded Music
David M. Blei, Perry R. Cook and Matthew Hoffman
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Active Learning for Multi-Task Adaptive Filtering
Abhay Harpale and Yiming Yang
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Large Scale Max-Margin Multi-Label Classification with Priors
Bharath Hariharan, Lihi Zelnik-manor, Manik Varma and S.v.n. Vishwanathan
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Interactive Submodular Set Cover
Andrew Guillory and Jeff A. Bilmes
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Boosted Backpropagation Learning for Training Deep Modular Networks
Alexander Grubb and J. A. Bagnell
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning Fast Approximations of Sparse Coding
Karol Gregor and Yann Lecun
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine
Thore Graepel, Joaquin Q. Candela, Thomas Borchert and Ralf Herbrich
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Budgeted Nonparametric Learning from Data Streams
Andreas Krause and Ryan G. Gomes
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Boosting Classifiers with Tightened L0-Relaxation Penalties
Noam Goldberg and Jonathan Eckstein
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


A Language-based Approach to Measuring Scholarly Impact
Sean Gerrish and David M. Blei
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning
Matan Gavish, Boaz Nadler and Ronald R. Coifman
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Feature Selection as a One-Player Game
Romaric Gaudel and Michele Sebag
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Discriminative Latent Variable Models for Object Detection
Pedro F. Felzenszwalb, Ross B. Girshick, David A. Mcallester and Deva Ramanan
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Nonparametric Information Theoretic Clustering Algorithm
Lev Faivishevsky and Jacob Goldberger
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


On the Consistency of Ranking Algorithms
John C. Duchi, Lester W. Mackey and Michael I. Jordan
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
Gregory Druck and Andrew Mccallum
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda
Carlton Downey and Scott Sanner
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Heterogeneous Continuous Dynamic Bayesian Networks with Flexible Structure and Inter-Time Segment Information Sharing
Frank Dondelinger, Dirk Husmeier and Sophie Lebre
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Approximate Predictive Representations of Partially Observable Systems
Monica Dinculescu and Doina Precup
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Asymptotic Analysis of Generative Semi-Supervised Learning
Joshua V. Dillon, Krishnakumar Balasubramanian and Guy Lebanon
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


A Conditional Random Field for Multiple-Instance Learning
Thomas Deselaers and Vittorio Ferrari
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains
Weiwei Cheng, Eyke Hüllermeier and Krzysztof J. Dembczynski
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Bottom-Up Learning of Markov Network Structure
Jesse Davis and Pedro Domingos
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Mining Clustering Dimensions
Sajib Dasgupta and Vincent Ng
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


FAB-MAP: Appearance-Based Place Recognition and Mapping using a Learned Visual Vocabulary Model
Mark J. Cummins and Paul M. Newman
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Fast Neighborhood Subgraph Pairwise Distance Kernel
Fabrizio Costa and Kurt D. Grave
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Generalization Bounds for Learning Kernels
Corinna Cortes, Mehryar Mohri and Afshin Rostamizadeh
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Two-Stage Learning Kernel Algorithms
Corinna Cortes, Mehryar Mohri and Afshin Rostamizadeh
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Comparing Clusterings in Space
Michael H. Coen, M. H. Ansari and Nathanael Fillmore
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Graded Multilabel Classification: The Ordinal Case
Weiwei Cheng, Eyke Hüllermeier and Krzysztof J. Dembczynski
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Label Ranking Methods based on the Plackett-Luce Model
Weiwei Cheng, Eyke Hüllermeier and Krzysztof J. Dembczynski
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Dynamical Products of Experts for Modeling Financial Time Series
Yutian Chen and Max Welling
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Structured Output Learning with Indirect Supervision
Ming-wei Chang, Vivek Srikumar, Dan Goldwasser and Dan Roth
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains
Bin Cao, Nathan N. Liu and Qiang Yang
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Finding Planted Partitions in Nearly Linear Time using Arrested Spectral Clustering
Nader H. Bshouty and Philip M. Long
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning Tree Conditional Random Fields
Joseph K. Bradley and Carlos Guestrin
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Multi-agent Learning Experiments on Repeated Matrix Games
Bruno Bouzy and Marc Métivier
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


A Theoretical Analysis of Feature Pooling in Visual Recognition
Y-lan Boureau, Jean Ponce and Yann Lecun
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences
Antoine Bordes, Nicolas Usunier and Jason Weston
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Causal filter selection in microarray data
Gianluca Bontempi and Patrick E. Meyer
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Distance dependent Chinese restaurant processes
David M. Blei and Peter Frazier
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Active Learning for Networked Data
Mustafa Bilgic, Lilyana Mihalkova and Lise Getoor
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Robust Formulations for Handling Uncertainty in Kernel Matrices
Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib Bhattacharyya and Aharon Ben-tal
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process
Nicholas Bartlett, David Pfau and Frank Wood
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Surrogating the surrogate: accelerating Gaussian-process-based global optimization with a mixture cross-entropy algorithm
Rémi Bardenet and Balázs Kégl
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Particle Filtered MCMC-MLE with Connections to Contrastive Divergence
Arthur U. Asuncion, Qiang Liu, Alexander T. Ihler and Padhraic Smyth
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


The Role of Machine Learning in Business Optimization
Chid Apté
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010