AI Seminar Series at Cornell

#12 Word Sense Disambiguation Using Similarity-Based Estimation.
Lillian Lee (Cornell) (refs.)
#11 A Combinatorial Approach to Computer Vision.
Ramin Zabih (Cornell)
#10 The Automatic Synthesis of a Highly Accurate Noun Phrase Recognizer.
David Pierce (Cornell)
#10 The Automatic Synthesis of a Highly Accurate Noun Phrase Recognizer.
David Pierce (Cornell)
#9 Weighting Unusual Features for Vision and Other Problems.
Nicholas Howe (Cornell)
#8 Planning, Reactivity, and Optimality.
Bart Selman (Cornell).
#7 A Simple Method for Identifying Basic Noun Phrases.
David Pierce (Cornell). (postponed)
#6 A Case Study in the Machine Learning of Natural Language.
Claire Cardie (Cornell).
#5 Computational Learning Theory.
Ronitt Rubinfeld and Bart Selman (Cornell).
#4 Probability Update: Conditioning vs. Cross-Entropy.
Joe Halpern (Cornell).
#3 Modeling Protein Families with Hidden Markov Models Based on Motifs.
Charles Elkan (UCSD).
#2 Aggregate and mixed-order Markov models for statistical language processing.
Fernando Pereira (AT&T Labs).
#1 General Convergence and Mistake Bound Results for Linear Discriminant Updates
Adam J. Grove (NEC Research Institute).