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All publications by Aaron D'souza
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Bayesian regression with input noise for high dimensional data
Jo-anne Ting, Aaron D'souza and Stefan Schaal
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares
Jo-anne Ting, Aaron D'souza, Kenji Yamamoto, Toshinori Yoshioka, Donna Hoffman, Shinji Kakei, Lauren Sergio, John Kalaska and Mitsuo Kawato
Advances in Neural Information Processing Systems 18, 2005


The Bayesian backfitting relevance vector machine
Aaron D'souza, Sethu Vijayakumar and Stefan Schaal
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004