메뉴 건너뛰기




Volumn , Issue , 2010, Pages 279-284

Co-training based algorithm for datasets without the natural feature split

Author keywords

Co Training; Feature splitting; Single view dataset; Text categorization

Indexed keywords

CLASSIFICATION MODELS; CO-TRAINING; DATA SETS; DISJOINT SETS; FEATURE SPLITTING; MANUAL ANNOTATION; NATURAL FEATURES; SEMI-SUPERVISED LEARNING; SEMI-SUPERVISED LEARNING METHODS; TEXT CATEGORIZATION; TRAINING DATA; TRAINING SETS;

EID: 78650575323     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SISY.2010.5647455     Document Type: Conference Paper
Times cited : (4)

References (13)
  • 6
    • 77952086656 scopus 로고    scopus 로고
    • New Feature Splitting Criteria for Co-training Using Genetic Algorithm Optimization
    • MCS 2010
    • A. Salaheldin and N. El Gayar, "New Feature Splitting Criteria for Co-training Using Genetic Algorithm Optimization," MCS 2010, LNCS 5997, pp. 22-32, 2010.
    • (2010) LNCS , vol.5997 , pp. 22-32
    • Salaheldin, A.1    El Gayar, N.2
  • 9
    • 84990479742 scopus 로고
    • An efficient heuristic procedure for partitioning graphs
    • B. Kernigham and S. Lin, "An efficient heuristic procedure for partitioning graphs," the Bell System Technical Journal, vol. 49, pp. 291-307, 1970.
    • (1970) The Bell System Technical Journal , vol.49 , pp. 291-307
    • Kernigham, B.1    Lin, S.2
  • 11
    • 84948481845 scopus 로고
    • An algorithm for suffix stemming
    • M. Porter, "An algorithm for suffix stemming" Program, vol. 14, pp. 130-137, 1980
    • (1980) Program , vol.14 , pp. 130-137
    • Porter, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.