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Volumn 1, Issue , 2003, Pages 380-384

A novel hybrid feature selection algorithm: Using ReliefF estimation for GA-Wrapper search

Author keywords

Feature selection; Filter; Genetic algorithm; ReliefF; Wrapper

Indexed keywords

CHARACTER RECOGNITION; DATA REDUCTION; GENETIC ALGORITHMS; HEURISTIC METHODS; LEARNING ALGORITHMS; PROBABILITY;

EID: 1542350353     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (37)

References (14)
  • 3
    • 0032028297 scopus 로고    scopus 로고
    • Feature subset selection using a genetic algorithm
    • Yang, J., Honavar, V., Feature subset selection using a genetic algorithm. IEEE Intelligent Systems, Vol. 13, pp. 44-49, 1998.
    • (1998) IEEE Intelligent Systems , vol.13 , pp. 44-49
    • Yang, J.1    Honavar, V.2
  • 5
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi, R., John, G., Wrappers for feature subset selection. Artificial Intelligence, Vol. 97, pp. 273-324, 1997.
    • (1997) Artificial Intelligence , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.2
  • 7
    • 0001977664 scopus 로고
    • Selection of relevant features in machine learning. R.Greiner, editor
    • New Orleans: AAAI Press
    • Langley, P., Selection of relevant features in machine learning. R.Greiner, editor. In Proc. AAAI Fall Symposium on Relevance. New Orleans: AAAI Press, pp. 140-144, 1994.
    • (1994) Proc. AAAI Fall Symposium on Relevance , pp. 140-144
    • Langley, P.1
  • 13
    • 0033640901 scopus 로고    scopus 로고
    • Comparison of algorithms that select features for pattern classifiers
    • Kudo, M., Sklansky, J., Comparison of algorithms that select features for pattern classifiers. Pattern Recognition. Vol. 33, pp. 25-41, 2000.
    • (2000) Pattern Recognition , vol.33 , pp. 25-41
    • Kudo, M.1    Sklansky, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.