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Jo-Anne Ting

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Neural Networks : the Official Journal of the International Neural Network Society|September 25, 2010
Bayesian robot system identification with input and output noiseJo-Anne Ting, Aaron D'Souza, Stefan Schaal
Neural Computation|December 24, 2009
Efficient learning and feature selection in high-dimensional regressionJo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 18, 2013
Learning to track and identify players from broadcast sports videosWei-Lwun Lu, Jo-Anne Ting, James J Little, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 2, 2008
Variational Bayesian least squares: an application to brain-machine interface dataJo-Anne Ting, Aaron D'Souza, Kenji Yamamoto, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|September 25, 2010
Bayesian robot system identification with input and output noiseJo-Anne Ting, Aaron D'Souza, Stefan Schaal
Neural Computation|December 24, 2009
Efficient learning and feature selection in high-dimensional regressionJo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 18, 2013
Learning to track and identify players from broadcast sports videosWei-Lwun Lu, Jo-Anne Ting, James J Little, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 2, 2008
Variational Bayesian least squares: an application to brain-machine interface dataJo-Anne Ting, Aaron D'Souza, Kenji Yamamoto, et al.
Pageof 1