Non-parametric statistical learning methods for inductive classifiers in semantic knowledge bases

Proceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008

Volumn , Issue , 2008, Pages 291-298

  d'Amato, Claudia ^a   Fanizzi, Nicola ^a   Esposito, Floriana ^a  

^a UNIVERSITY OF BARI   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); EDUCATION; INFORMATION THEORY; KNOWLEDGE REPRESENTATION; LEARNING SYSTEMS; LINGUISTICS; ONTOLOGY; QUERY LANGUAGES; SEMANTIC WEB; SEMANTICS; STANDARDS; STATISTICAL METHODS; SUPPORT VECTOR MACHINES;

DISTANCE FUNCTIONS; INTERNATIONAL CONFERENCES; K - NEAREST NEIGHBOR ALGORITHM; KERNEL FUNCTIONS; KNOWLEDGE BASES; NON-PARAMETRIC; QUERY ANSWERING; SEMANTIC KNOWLEDGE; SEMANTIC SIMILARITY; STATISTICAL LEARNING; STATISTICAL LEARNING METHODS;

LEARNING ALGORITHMS;

EID: 52149107835     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSC.2008.28     Document Type: Conference Paper

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