'Computer science department cs' diaporamas de présentation

Bayesian Learning

Bayesian Learning. Bayesian Learning. Probabilistic approach to inference Assumption Quantities of interest are governed by probability distribution Optimal decisions can be made by reasoning about probabilities and observations

928 views • 64 slides

CS 9633 Machine Learning Concept Learning

931 views • 62 slides

CS 9633 Machine Learning

CS 9633 Machine Learning. Computational Learning Theory. Adapted from notes by Tom Mitchell http://www-2.cs.cmu.edu/~tom/mlbook-chapter-slides.html. Theoretical Characterization of Learning Problems. Under what conditions is successful learning possible and impossible?

1.14k views • 60 slides

CS 9633 Machine Learning Feature Selection

CS 9633 Machine Learning Feature Selection. References: W. M. Weiss and C. A. Kulikowski, Computer Systems that Learn, 1991, Morgan Kaufmann. R. Kohavi, and G. John, Wrappers for Feature Subset Selection, 1998, Artificial Intelligence. Feature Selection.

438 views • 11 slides