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Volumn , Issue , 2008, Pages

Semi-supervised feature selection under logistic I-RELIEF framework

Author keywords

[No Author keywords available]

Indexed keywords

BASIC IDEA; BENCHMARK DATASETS; FEATURE SELECTION; LARGE MARGIN PRINCIPLE; NATURAL EXTENSION; OBJECTIVE FUNCTIONS; RELIEF ALGORITHM; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; UNLABELED SAMPLES;

EID: 77957935759     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (7)
  • 7
    • 34247622378 scopus 로고    scopus 로고
    • Iterative RELIEF for feature weighting: Algorithms, theories, and applications
    • Y. Sun. Iterative RELIEF for feature weighting: algorithms, theories, and applications. IEEE Trans. Pattern Analysis and Machine Intelligence, 29:1035-1051, 2007.
    • (2007) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.29 , pp. 1035-1051
    • Sun, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.