Machine Learning
and Friends at CMU

The 2002 ML talks:

December 16		Chris Paciorek, Gaussian Processes for Stationary and Nonstationary Smoothing: An Overview and Some Applications
December 9		Dunja Mladenic, Document Categorization using Support Vector Machines for Feature Selection
December 2		Alexander Gray, Automatic Derivation of Statistical Algorithms: The EM Family and Beyond
November 25		John Lafferty, Laplacians, Spectra, Kernels, and All That, Slides, Paper
November 18		Nathaniel Daw, Timing and Partial Observability in Reinforcement Learning Models of the Dopamine System
November 11		Henry Schneiderman, Object Detection Using Semi-Naive Bayes to Model Sparse Structure, Slides
October 28		Meel Velliste, Image Interpretation Methods for Protein Location in Cells, Slides
October 21		Mike Lewicki, Efficient coding of natural sounds, Slides
October 14		Alexander Gray, Nonparametric Density Estimation: Toward Computational Tractability
October 7		Shyjan Mahamud, Optimal Distance Measures for the Nearest Neighbor Rule
September 30		KDD / UAI / AAAI Review Session Drew Bagnell, William Cohen, Weng-Keen Wong, and Tom Minka presented
September 23		Everyone, Intro Meeting, Submit your own profile!, Read profiles, Tom Minka's clustering of people based on profiles
September 16		Tom Minka, Expectation-Propagation for the Generative Aspect Model, Paper, Slides
May 20		Guy Lebanon, Cranking: Combining Rankings Using Conditional Probability Models on Permutations, Paper, Slides
May 13		John Langford, Approximately Optimal Approximate Reinforcement Learning, Slides
May 6		James Thomas, How Not to Learn Trading Rules
April 29		Hanna Pasula (Berkeley), Identity Uncertainty
April 22		Dimitris Margaritis, Probabilistic Model Structure from Data, Slides
April 8		Weng-Keen Wong, Efficient algorithms for non-parametric clustering with clutter, Slides
April 1		Wolfram Burgard, Using EM to Learn Motion Behaviors of Persons with Mobile Robots, Slides
March 18		Dan Pelleg, Using Tarjan's Red Rule for Fast Dependency Tree Construction, Slides
March 11		Imre Risi Kondor, Diffusion Kernels, Paper, Slides
March 4		Zoubin Ghahramani, Infinite Models II: Mixtures of Experts and HMMs Slides
February 25		Matt Beal (Gatsby), Speaker tracking using audio-visual statistical models, Paper, Slides, Videos
February 18		NIPS Review Session, John Langford, Guy Lebanon, Drew Bagnell, and Chuck Rosenberg presented, Slides
February 11		NIPS Review Session, Weng-Keen Wong, Geoff Gordon, Stella Yu, and Nick Roy presented, Slides
February 4		Zoubin Ghahramani, Infinite Models, Slides
January 21		William Cohen, A Flexible Learning System for Wrapping Tables and Lists, Slides

The 2002 ML talks were organized by Joelle Pineau, Alexander Gray, and Chuck Rosenberg.