Semi-supervised boosting for multi-class classification

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

Volumn 5212 LNAI, Issue PART 2, 2008, Pages 522-537

  Valizadegan, Hamed ^a   Jin, Rong ^a   Jain, Anil K ^a  

^a Michigan State University

Author keywords

Boosting; Multi Class Classification; Semi supervised learning

Indexed keywords

BINARY CLASSIFICATIONS; BINARY CLASSIFIERS; BOOSTING; BOOSTING ALGORITHMS; BOOSTING METHODS; CLASSIFICATION CONFIDENCES; DATA SETS; EMPIRICAL STUDIES; IMBALANCED CLASSIFICATIONS; LEARNING PROBLEMS; MULTI-CLASS CLASSIFICATION; SEMI-SUPERVISED LEARNING; SEMI-SUPERVISED LEARNINGS; SHORT-COMINGS;

CLASSIFIERS; DATABASE SYSTEMS; EDUCATION; LEARNING SYSTEMS; ROBOT LEARNING; SUPERVISED LEARNING;

LEARNING ALGORITHMS;

EID: 56049114479     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87481-2_34     Document Type: Conference Paper

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