Learning from labeled and unlabeled documents: A comparative study on semi-supervised text classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1910, Issue , 2000, Pages 490-497

  Lanquillon, Carsten ^a  

^a DAIMLER AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; INFORMATION RETRIEVAL SYSTEMS; LARGE DATASET; LEARNING ALGORITHMS; MACHINE LEARNING; SUPERVISED LEARNING; SUPPORT VECTOR MACHINES; TEXT PROCESSING;

BAYES CLASSIFIER; COMPARATIVE STUDIES; LABELED DOCUMENTS; LINEAR SUPPORT VECTOR MACHINES; SEMI- SUPERVISED LEARNING; TEXT CLASSIFICATION; TRAINING DOCUMENTS; UNLABELED DOCUMENTS;

CLASSIFICATION (OF INFORMATION);

EID: 84974687107     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45372-5_56     Document Type: Conference Paper

References (14)

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