Logistic Regression Modeling for Context-Based Classification

Authors:
Jack R. Brzezinski
Affiliations:
-
Venue:
DEXA '99 Proceedings of the 10th International Workshop on Database & Expert Systems Applications
Year:
1999

Citing 0
Cited 2

Large-scale sparse logistic regression

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Pattern Recognition

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Abstract

This paper focuses on a machine learning approach to the concept/document classification for IR. We apply a logistic regression - based algorithm to three types of classification tasks: binary classification, multiple classification and classification into a hierarchy. We classify a set of 150 Topics from the TIPSTER collection. We develop heuristics as to how to build a logistic regression model for high dimensional, sparse data sets.