99 search results - page 2 / 20 » Learning Taxonomies by Dependence Maximization |
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
We propose a family of clustering algorithms based on the maximization of dependence between the input variables and their cluster labels, as expressed by the Hilbert-Schmidt Inde...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
We consider a novel problem of learning an optimal matching, in an online fashion, between two feature spaces that are organized as taxonomies. We formulate this as a multi-armed ...
NIPS
2004
13 years 6 months ago
2004
Semantic taxonomies such as WordNet provide a rich source of knowledge for natural language processing applications, but are expensive to build, maintain, and extend. Motivated by...
COLT
2004
Springer
13 years 8 months ago
2004
Springer
We study the problem of classifying data in a given taxonomy when classifications associated with multiple and/or partial paths are allowed. We introduce an incremental algorithm u...
TCS
2010
13 years 3 months ago
2010
This paper concerns learning binary-valued functions defined on IR, and investigates how a particular type of ‘regularity’ of hypotheses can be used to obtain better generali...