and Friends at CMU
The 2001 ML talks:
|December 3||CALD Seminar scheduled.
To be held from 12:30-2:00pm in NSH 3305. (With Pizza)
Kevin Kelly (CMU), Ockham's Razor Deduced from Error Minimization
Integrating Scope into Learning with Application to Information Extraction
Aaron Courville, Modeling Temporal Structure in Classical Conditioning
This seminar took place in Wean Hall 7220 at 1:30 pm
|November 19||Vandi Verma,
Risk Sensitive Particle Filters,
Guy Lebanon, Boosting and Maximum Likelihood for Exponential Models, Tech Report
|November 12||John Langford, Provable Learning, Slides|
|November 5||Geoff Gordon, Variations on a Particle Filter, Slides|
|September 24||ICML / KDD / COLT Review Session, Shuchi Chawla, John Langford, Ricardo Silva, and Martin Zinkevich presented|
|July 23||Douglas Aberdeen (Australian National University), Gradient Reinforcement Learning of POMDP Policy Graphs, Slides|
|July 16||Peter Venable, Lynx: Building a Statistical Parser from a Rule-Based Parser|
|June 26||Dan Pelleg,
Mixtures of Rectangles: Interpretable Soft Clustering
Rayid Ghani, Hypertext Categorization using Hyperlink Patterns and Meta Data
|June 4||Chuck Rosenberg, Color Constancy Using KL-Divergence|
|March 26||Bryan Singer, Learning to Generate Fast Signal Processing Implementations, Slides|
|March 19||Andrew McCallum, Efficient Clustering of High-Dimensional Data Sets with Application to Reference Matching|
|March 12||John Langford, The Usefulness of Sample Complexity Bounds, Slides|
|February 19||Malcolm Strens, Reinforcement Learning Methods for Military Applications, Slides, ppt slides|
|February 12||Frank Dellaert, Structure from Motion without Correspondence, Slides, ppt slides|
|February 5||NIPS Review, Geoff Gordon, Joelle Pineau, John Langford, and Tom Minka made presentations and here are their Slides.|
|January 24||Faculty Candidate talk scheduled.
Sam T. Roweis (University College of London), Scalable Learning of Nonlinear Manifolds from Data
|January 22||CALD Seminar scheduled.
Thorsten Joachims (GMD), The Maximum-Margin Approach to Learning Text Classifiers
|January 15||SCS Distinguished Seminar scheduled.
Steve Smale (City University of Hong Kong), On the Mathematical Foundations of Learning Theory
Maintained by: Pradeep Ravikumar - Last modified: Mon Jan 10 13:07:31 EST 2005