PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Jo-Anne Ting

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Number of EPrints submitted by this user: 6

Bayesian Methods for Autonomous Learning Systems
Jo-Anne Ting
(2009) PhD thesis, University of Southern California.

Bayesian Kernel Shaping for Control
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar and Stefan Schaal
In: Advances in Neural Processing Systems (NIPS 2008), Dec 8-11, 2008, Vancouver, BC, Canada.

Variational Bayesian least squares: An application to brain-machine interface data
Jo-Anne Ting, Aaron D'Souza, Kenji Yamamoto, Toshinori Yoshioka, Donna Hoffman, Shinji Kakei, Lauren Sergio, John Kalaska, Mitsuo Kawato, Peter Strick and Stefan Schaal
Neural Networks: Special Issue on Neuroinformatics Volume 21, Number 8, pp. 1112-1131, 2008. ISSN 0893-6080

A Bayesian Approach to Empirical Local Linearization for Robotics
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar and Stefan Schaal
In: IEEE International Conference on Robotics and Automation (ICRA 2008), 19-23 May 2008, Pasadena, California, USA.

Efficient Learning and Feature Selection in High-Dimensional Regression
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar and Stefan Schaal
Neural Computation Volume 22, Number 4, pp. 831-886, 2010.

Active sequential learning with tactile feedback
Hannes Saal, Jo-Anne Ting and Sethu Vijayakumar
International Conference on Artificial Intelligence and Statistics 2010.