'Simple hypotheses' presentation slideshows

Bayesian models of inductive learning

4.13k views • 384 slides

Bayesian models of inductive learning

3.84k views • 384 slides

Bayesian models of inductive learning

3.85k views • 384 slides

Kevin Murphy UBC CS & Stats 9 February 2005

816 views • 68 slides

Kevin Murphy UBC CS & Stats 9 February 2005

850 views • 68 slides

The power of Convex Relaxation: Near-optimal matrix completion Emmanuel J. Candes and Terence Tao March, 2009

The power of Convex Relaxation: Near-optimal matrix completion Emmanuel J. Candes and Terence Tao March, 2009. Presenter: Shujie Hou February, 04 th ,2011 Department of Electrical and Computer Engineering Cognitive Radio Institute Tennessee Technological university.

533 views • 31 slides

CPS 270: Artificial Intelligence http://www.cs.duke.edu/courses/fall08/cps270/ Machine learning

Instructor: Vincent Conitzer. CPS 270: Artificial Intelligence http://www.cs.duke.edu/courses/fall08/cps270/ Machine learning. Why is learning important?. So far we have assumed we know how the world works Rules of queens puzzle Rules of chess Knowledge base of logical facts

247 views • 14 slides

NH&MRC PROJECT GRANTS

RESEARCH GRANTS FORUM 23 RD November 2005 . NH&MRC PROJECT GRANTS. Speaker: Associate Professor Janet Keast. NH&MRC Project Grants. Procedural changes Deciding whether to apply or not Features of competitive applications How to respond to panel feedback. Procedural changes.

231 views • 12 slides