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).