2006 - C. E. Rasmussen & C. K. I. Williams - Gaussian Processes For Machine Learning (MIT Press).pdf

C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning, the MIT Press, 2006,
ISBN 026218253X.
c 2006 Massachusetts Institute of Technology. l
Gaussian Processes for Machine Learning
C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning, the MIT Press, 2006,
ISBN 026218253X.
c 2006 Massachusetts Institute of Technology. l
putation and Machine Learning
Thomas Dietterich, Editor
Christopher Bishop, David Heckerman, Michael Jordan, and Michael Kearns, Associate Editors
Bioinformatics: The Machine Learning Approach,
Pierre Baldi and Søren Brunak
Reinforcement Learning: An Introduction,
Richard S. Sutton and Andrew G. Barto
Graphical Models for Machine Learning and munication,
Brendan J. Frey
Learning in Graphical Models,
Michael I. Jordan
Causation, Prediction, and Search, second edition,
Peter Spirtes, Clark Glymour, and Richard Scheines
Principles of Data Mining,
David Hand, Heikki Mannila, and Padhraic Smyth
Bioinformatics: The Machine Learning Approach, second edition,
Pierre Baldi and Søren Brunak
Learning Kernel Classifiers: Theory and Algorithms,
Ralf Herbrich
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond,
Bernhard Sch¨olkopf and Alexander J. Smola
Introduction to Machine Learning,
Ethem Alpaydin
Gaussian Processes for Machine Learning,
Carl Edward Rasmussen and Christopher K. I. Williams
C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning, the MIT Press, 2006,
ISBN 026218253X.
c 2006 Massachusetts Institute of Technology. l
Gaussian Processes for Machine Learning
Carl Edward Rasmussen
Christopher K. I. Williams
The MIT Press
Cambridge, Massachusetts
London, England
C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning, the MIT Press, 2006,
ISBN 026218253X.
c 2006 Massachusetts Institute of Technology. l
c 2006 Massachusetts Institute of Technology
All rights res