Title: Learning Classifier Combinations for Information Retrieval
Speakers: Dmitriy Fradkin, Rutgers University
Date: Monday, March 7, 2005 4:15pm
Location: DIMACS Center, CoRE Bldg, Room 433, Rutgers University, Busch Campus, Piscataway, NJ
This work compares two approaches to finding effective topic-independent classifier combinations. We suggest a new federated approach and compare it against the global approach. Our results indicate that the relative effectiveness of these approaches depends on the measure used to evaluate them. We suggest explanations for these results.
This is joint work with Paul Kantor