@jrquevedogmail

Discriminative Methods for Multi-Labeled Classification

, and . In Proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining, page 22--30. Springer, (2004)

Abstract

In this paper we present methods of enhancing existing discriminative classifiers for multi-labeled predictions. Discriminative methods like support vector machines perform very well for uni-labeled text classification tasks. Multi-labeled classification is a harder task subject to relatively less attention. In the multi-labeled setting, classes are often related to each other or part of a is-a hierarchy. We present a new technique for combining text features and features indicating relationships between classes, which can be used with any discriminative algorithm.

Description

CiteSeerX — Discriminative Methods for Multi-Labeled Classification

Links and resources

Tags

community

  • @zeno
  • @jrquevedogmail
  • @dblp
@jrquevedogmail's tags highlighted