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Volumn 7244 LNCS, Issue , 2012, Pages 97-108

Improving relevance measures using genetic programming

Author keywords

Binary classification; Genetic programming; Multivariate dependency analysis; Relevance measure

Indexed keywords

BINARY CLASSIFICATION; DEPENDENCY ANALYSIS; FEATURE SELECTION ALGORITHM; RELEVANCE MEASURE; TARGET CONCEPT;

EID: 84859135670     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-29139-5_9     Document Type: Conference Paper
Times cited : (19)

References (10)
  • 2
    • 0002478891 scopus 로고
    • Adapting operator probabilities in genetic algorithms
    • Morgan Kaufmann Publishers Inc., George Mason University, United States
    • Davis, L.: Adapting operator probabilities in genetic algorithms. In: Proceedings of the Third International Conference on Genetic Algorithms, pp. 61-69. Morgan Kaufmann Publishers Inc., George Mason University, United States (1989)
    • (1989) Proceedings of the Third International Conference on Genetic Algorithms , pp. 61-69
    • Davis, L.1
  • 3
    • 0141809685 scopus 로고
    • On the logic of relevance
    • Gärdenfors, P.: On the logic of relevance. Synthese 37(3), 351-367 (1978)
    • (1978) Synthese , vol.37 , Issue.3 , pp. 351-367
    • Gärdenfors, P.1
  • 6
    • 0035336996 scopus 로고    scopus 로고
    • Information-theoretic algorithm for feature selection
    • Last, M., K, A., Maimon, O.: Information-theoretic algorithm for feature selection. Pattern Recognition Letters 22, 799-811 (2001)
    • (2001) Pattern Recognition Letters , vol.22 , pp. 799-811
    • Last, M.1    K, A.2    Maimon, O.3
  • 7
    • 78650429699 scopus 로고    scopus 로고
    • Unsupervised Elimination of Redundant Features Using Genetic Programming
    • Nicholson, A., Li, X. (eds.) AI 2009. Springer, Heidelberg
    • Neshatian, K., Zhang, M.: Unsupervised Elimination of Redundant Features Using Genetic Programming. In: Nicholson, A., Li, X. (eds.) AI 2009. LNCS, vol. 5866, pp. 432-442. Springer, Heidelberg (2009)
    • (2009) LNCS , vol.5866 , pp. 432-442
    • Neshatian, K.1    Zhang, M.2
  • 8
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
    • Peng, H., Long, F., Ding, C.: Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1226-1238 (2005)
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.