Maximum entropy models with inequality constraints : A case study on text categorization: Machine Learning in Speech and Language Technologies

Maximum entropy models with inequality constraints : A case study on text categorization Machine Learning in Speech and Language Technologies

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Bibliographic Details
Published in:Machine learning Vol. 60; no. 1-3; pp. 159 - 194
Main Authors: KAZAMA, Junichi, TSUJII, Junichi
Format: Journal Article
Language:English
Published: Dordrecht Springer 2005
Subjects:
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Exact sciences and technology
Speech and sound recognition and synthesis. Linguistics
Parameter estimation
Feature selection
Automatic selection
text categorization
Method of maximum entropy
maximum entropy model
Machine language
Language processing
Inequality constraint
Linguistics
Vector support machine
Natural language
Categorization
Regularization
Online Access:Get full text
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Description
ISSN:0885-6125
1573-0565