Aaron D'Souza
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A Bayesian Approach to Empirical Local Linearization for Robotics
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Jo-Anne Ting
Sethu Vijayakumar
Stefan Schaal
International Conference on Robotics and Automation (ICRA2008)
Automatic outlier detection: A Bayesian approach
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Jo-Anne Ting
Stefan Schaal
International Conference on Robotics and Automation (ICRA 2007)
Bayesian Regression with Input Noise for High-Dimensional Data
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Jo-Anne Ting
Stefan Schaal
In Proceedings of the 23rd International Conference on Machine Learning, ACM Press (2006)
Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares
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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)
Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares
Jo-Anne Ting
Kenji Yamamoto
Toshinori Yoshioka
Donna L. Hoffman
Lauren Sergio
Shinji Kakei
John Kalaska
Mitsuo Kawato
Peter Strick
Stefan Schaal
Neural Information Processing Systems (2005)
The Bayesian backfitting relevance vector machine