메뉴 건너뛰기




Volumn 2810, Issue , 2003, Pages 599-610

Genetic approach to constructive induction based on non-algebraic feature representation

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS;

EID: 35248833168     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45231-7_55     Document Type: Article
Times cited : (12)

References (19)
  • 1
    • 0003408496 scopus 로고    scopus 로고
    • University of California, Department of Information and Computer Science, Irvine, California
    • Blake, C.L., Merz, C.J.: UCI Repository of Machine Learning Databases, [http://www.ics.uci.edu/ mlearn/MLRepository.html]. University of California, Department of Information and Computer Science, Irvine, California (1998)
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.L.1    Merz, C.J.2
  • 2
    • 0027580356 scopus 로고
    • Very simple classification rules perform well on most commonly used datasets
    • Holte, R.C.: Very simple classification rules perform well on most commonly used datasets. Machine Learning, 11:63-91i (1993)
    • (1993) Machine Learning , vol.11
    • Holte, R.C.1
  • 3
    • 0035500276 scopus 로고    scopus 로고
    • Understanding the crucial role of attribute interaction in data mining
    • November
    • Freitas, A.: Understanding the crucial role of attribute interaction in data mining. Artificial Intelligence Review, 16(3):177-199 (November, 2001)
    • (2001) Artificial Intelligence Review , vol.16 , Issue.3 , pp. 177-199
    • Freitas, A.1
  • 4
    • 0023803244 scopus 로고
    • Predicting the secondary structure of globular proteins using neural network models
    • August
    • Qian, N., Sejnowski, T. J.: Predicting the secondary structure of globular proteins using neural network models. Journal of Molecular Biology, 202:865-884 (August, 1988)
    • (1988) Journal of Molecular Biology , vol.202 , pp. 865-884
    • Qian, N.1    Sejnowski, T.J.2
  • 5
    • 0000686085 scopus 로고
    • Learning hard concepts through constructive induction: Framework and rationale
    • November
    • Rendell, L.A., Seshu, R.: Learning hard concepts through constructive induction: framework and rationale. Computational Intelligence, 6:247-270 (November, 1990)
    • (1990) Computational Intelligence , vol.6 , pp. 247-270
    • Rendell, L.A.1    Seshu, R.2
  • 6
    • 0004761280 scopus 로고
    • Inductive learning of structural description: Evaluation criteria and comparative review of selected methods
    • July
    • Dietterich, T.G., Michalski, R.S.: Inductive learning of structural description: evaluation criteria and comparative review of selected methods. Artificial Intelligence, 16(3):257-294 (July, 1981)
    • (1981) Artificial Intelligence , vol.16 , Issue.3 , pp. 257-294
    • Dietterich, T.G.1    Michalski, R.S.2
  • 7
    • 85152629807 scopus 로고
    • Incremental constructive induction: An instance-based approach
    • Evanston, Illinois Morgan Kaufmann
    • Aha, D.W.: Incremental constructive induction: an instance-based approach. In Proceedings of the Eighth International Workshop on Machine Learning, pages 117-121, Evanston, Illinois (1991) Morgan Kaufmann
    • (1991) Proceedings of the Eighth International Workshop on Machine Learning , pp. 117-121
    • Aha, D.W.1
  • 8
    • 0025389210 scopus 로고
    • Boolean feature discovery in empirical learning
    • Pagallo G., Haussler, D.: Boolean feature discovery in empirical learning. Machine Learning, 5:71-99 (1990)
    • (1990) Machine Learning , vol.5 , pp. 71-99
    • Pagallo, G.1    Haussler, D.2
  • 14
    • 0003023369 scopus 로고    scopus 로고
    • A genetic programming approach to constructive induction
    • Madison, Wisconsin, July, Morgan Kauffman
    • Hu, Y.: A genetic programming approach to constructive induction. In Proceedings of the Third Annual Genetic Programming Conference, pages 146-157, Madison, Wisconsin, (July, 1998) Morgan Kauffman
    • (1998) Proceedings of the Third Annual Genetic Programming Conference , pp. 146-157
    • Hu, Y.1
  • 15
    • 0032028849 scopus 로고    scopus 로고
    • Feature space transformation using genetic algorithms
    • March-April
    • Vafaie, H., De Jong, K.: Feature space transformation using genetic algorithms. IEEE Intelligent Systems and Their Applications, 13(2):57-65 (March-April, 1998)
    • (1998) IEEE Intelligent Systems and Their Applications , vol.13 , Issue.2 , pp. 57-65
    • Vafaie, H.1    De Jong, K.2
  • 18
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, R.J.: Induction of decision trees. Machine Learning, 1(1):81-106 (1986)
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, R.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.