'Expected information gain' presentation slideshows

Scoring Rules, Generalized Entropy, and Utility Maximization

Scoring Rules, Generalized Entropy, and Utility Maximization. Victor Jose, Robert Nau, & Robert Winkler Fuqua School of Business Duke University. Presentation for GRID/ENSAM Seminar Paris, May 22, 2007. Overview.

473 views • 47 slides

Scoring Rules, Generalized Entropy, and Utility Maximization

Scoring Rules, Generalized Entropy, and Utility Maximization. Robert Nau Fuqua School of Business Duke University (with Victor Jose and Robert Winkler). Presentation for IEOR Seminar Berkeley, October 29, 2006. Overview.

449 views • 43 slides

Taking Computer Vision I nto The Wild

522 views • 37 slides

Information Theory and Games (Ch. 16)

Information Theory and Games (Ch. 16). Information Theory. Information theory studies information flow Under this context information has no intrinsic meaning Information may be partial (e.g., a sound ) Information measures the degree of uncertainty.

400 views • 15 slides