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Part IV Generative Learning algorithms

cs229.stanford.edu

CS229Lecturenotes Andrew Ng Part IV Generative Learning algorithms So far, we’ve mainly been talking about learning algorithms that model p(y|x;θ), the conditional distribution of y given x.

  Generative

Gaussian Processes for Machine Learning

www.gaussianprocess.org

C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning, the MIT Press, 2006, ISBN 026218253X. 2006 Massachusetts Institute of Technology.c www.GaussianProcess.org/gpml

  Processes, Machine, Learning, Gaussian processes for machine learning, Gaussian

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