Machine Learning and Friends at Carnegie Mellon

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.