Aaron D'Souza

Aaron D'Souza

Authored Publications
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Efficient Learning and Feature Selection in High-Dimensional Regression
Jo-Anne Ting
Stefan Schaal
Neural Computation, 22(4) (2010), pp. 831-886
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Bayesian Robot System Identification with Input and Output Noise
Jo-Anne Ting
Stefan Schaal
Neural Networks (2010) (to appear)
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A Bayesian Approach to Empirical Local Linearization for Robotics
Jo-Anne Ting
Sethu Vijayakumar
Stefan Schaal
International Conference on Robotics and Automation (ICRA2008)
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Automatic outlier detection: A Bayesian approach
Jo-Anne Ting
Stefan Schaal
International Conference on Robotics and Automation (ICRA 2007)
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Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares
Jo-Anne Ting
Kenji Yamamoto
Toshinori Yoshioka
Donna Hoffman
Shinji Kakei
Lauren Sergio
John Kalaska
Mitsuo Kawato
Peter Strick
Stefan Schaal
Advances in Neural Information Processing Systems 18, MIT Press (2006)
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Bayesian Regression with Input Noise for High-Dimensional Data
Jo-Anne Ting
Stefan Schaal
In Proceedings of the 23rd International Conference on Machine Learning, ACM Press (2006)
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