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Volumn 11, Issue 1-5, 1997, Pages 255-272

Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms

Author keywords

Attribute weight setting; Lazy learning; Nearest neighbor learning algorithms; Theoretical analyses

Indexed keywords

COMPUTATIONAL METHODS; ERROR ANALYSIS; LEARNING SYSTEMS; OPTIMIZATION; PATTERN RECOGNITION;

EID: 0031073476     PISSN: 02692821     EISSN: None     Source Type: Journal    
DOI: 10.1007/978-94-017-2053-3_10     Document Type: Article
Times cited : (17)

References (27)
  • 1
    • 85152621496 scopus 로고
    • Incremental, instance-based learning of independent and graded concept descriptions
    • Irvine, CA: Morgan Kaufmann
    • Aha, D. W. (1989). Incremental, instance-based learning of independent and graded concept descriptions. In Proceedings of the 1989 International Workshop on Machine Learning, pp. 387-391. Irvine, CA: Morgan Kaufmann.
    • (1989) Proceedings of the 1989 International Workshop on Machine Learning , pp. 387-391
    • Aha, D.W.1
  • 2
    • 0001918655 scopus 로고
    • Feature selection for case-based classification of cloud types: An empirical comparison
    • Aha, D. W. (ed.), (Technical Report WS-94-01), Menlo Park, CA: AAAI Press
    • Aha, D. W. & Bankert, R. L. (1994). Feature selection for case-based classification of cloud types: An empirical comparison. In Aha, D. W. (ed.), Proceedings of the AAAI-94 Workshop on Case-Based Reasoning (Technical Report WS-94-01), Menlo Park, CA: AAAI Press.
    • (1994) Proceedings of the AAAI-94 Workshop on Case-Based Reasoning
    • Aha, D.W.1    Bankert, R.L.2
  • 8
    • 34250080806 scopus 로고
    • A weighted nearest neighbor algorithm for learning with symbolic features
    • Cost, S. & Salzberg, S. (1993). A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning 10: 57-78.
    • (1993) Machine Learning , vol.10 , pp. 57-78
    • Cost, S.1    Salzberg, S.2
  • 21
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, J. (1986). Induction of decision trees. Machine Learning 1(1), 81-106.
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.1
  • 24
    • 0012657799 scopus 로고
    • Prototype and feature selection by sampling and random mutation hill climbing algorithms
    • Morgan Kaufmann, CA
    • Skalak, D. (1994). Prototype and feature selection by sampling and random mutation hill climbing algorithms. In Proceedings of the 1994 International Conference on Machine Learning, pp. 293-301. Morgan Kaufmann, CA.
    • (1994) Proceedings of the 1994 International Conference on Machine Learning , pp. 293-301
    • Skalak, D.1
  • 27
    • 0002564447 scopus 로고
    • An experimental comparison of the nearest neighbor and nearest hyperrectangle algorithms
    • Wettschereck, D. & Dietterich, T. (1995). An experimental comparison of the nearest neighbor and nearest hyperrectangle algorithms. Machine Learning 19: 5-28.
    • (1995) Machine Learning , vol.19 , pp. 5-28
    • Wettschereck, D.1    Dietterich, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.