Robot Learning Pointers
Recommended textbooks for robot learning
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Bishop, "Pattern Recognition and Machine Learning"
http://research.microsoft.com/~cmbishop/PRML/
Bishop, "Neural Networks for Pattern Recognition"
http://research.microsoft.com/~cmbishop/nnpr.htm
Duda, Hart, and Stork, "Pattern Classification"
http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0471056693.html
MacKay, "Information Theory, Inference, and Learning Algorithms"
http://www.inference.phy.cam.ac.uk/mackay/itila/
(I especially recommend Chapter 45 for an introduction to Gaussian Processes: http://www.inference.phy.cam.ac.uk/mackay/itprnn/ps/534.548.pdf My Matlab implementation of Gaussian Process regression was implemented from this chapter without too much difficulty.
Thrun, Burgard, and Fox "Probabilistic Robotics"
http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=10668
Russell and Norvig, "Artificial Intelligence: A Modern Approach"
http://aima.cs.berkeley.edu/
Sampling of related conferences to machine and robot learning
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Machine Learning
NIPS - http://nips.cc/
ICML - http://icml2008.cs.helsinki.fi/
Computational Learning Theory
COLT - http://colt2008.cs.helsinki.fi/
Data Mining
KDD - http://www.acm.org/sigs/sigkdd/kdd2008/
Developmental Robotics
ICDL - http://www.icdl07.org/
EpiRob - http://www.epigenetic-robotics.org/
General Robotics
ICRA - http://www.icra2008.org/
R:SS - http://roboticsconference.org/
Human-Robot Interaction
HRI - http://hri2008.org/
Artificial Life
ALife - http://www.alifex.org/





