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Volumn 5785 LNAI, Issue , 2009, Pages 297-308

An evidence-theoretic k-nearest neighbor rule for multi-label classification

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATASETS; DEMPSTER-SHAFER THEORY; EVIDENCE THEORIES; EXISTING METHOD; K-NEAREST NEIGHBOR RULES; K-NEAREST NEIGHBORS; LABEL SETS; LEARNING METHODS; MULTI-LABEL; TRAINING PATTERNS; TRAINING SETS;

EID: 70350456102     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04388-8_23     Document Type: Conference Paper
Times cited : (22)

References (15)
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    • Denoeux, T.1
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    • Denoeux, T., Smets, P.: Classification using Belief Functions: the Relationship between the Case-based and Model-based Approaches. IEEE Trans. on Systems, Man and Cybernetics B 36(6), 1395-1406 (2006)
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    • Denoeux, T.1    Smets, P.2
  • 5
    • 0035899792 scopus 로고    scopus 로고
    • Handling possibilistic labels in pattern classification using evidential reasoning
    • Denoeux, T., Zouhal, L.M.: Handling possibilistic labels in pattern classification using evidential reasoning. Fuzzy Sets and Systems 122(3), 47-92 (2001)
    • (2001) Fuzzy Sets and Systems , vol.122 , Issue.3 , pp. 47-92
    • Denoeux, T.1    Zouhal, L.M.2
  • 6
    • 2542631648 scopus 로고    scopus 로고
    • Kernel methods for multi-labelled classification and categorical regression problems
    • Elisseeff, A., Weston, J.: Kernel methods for multi-labelled classification and categorical regression problems. Advances in Neural Information Processing Systems 14, 681-687 (2002)
    • (2002) Advances in Neural Information Processing Systems , vol.14 , pp. 681-687
    • Elisseeff, A.1    Weston, J.2
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    • 0033905095 scopus 로고    scopus 로고
    • Schapire, R.E., Singer, Y.: BoosTexter: A Boosting-based System for Text Categorization. Machine Learning 39(2-3), 135-168 (2000)
    • Schapire, R.E., Singer, Y.: BoosTexter: A Boosting-based System for Text Categorization. Machine Learning 39(2-3), 135-168 (2000)
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    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Yang, Y.: An evaluation of statistical approaches to text categorization. Journal of Information Retrieval 1, 78-88 (1999)
    • (1999) Journal of Information Retrieval , vol.1 , pp. 78-88
    • Yang, Y.1
  • 14
    • 70349868873 scopus 로고    scopus 로고
    • Multi-label classification algorithm derived from k-nearest neighbor rule with label dependencies
    • Lausanne, Switzerland, August 25-29
    • Younes, Z., Abdallah, F., Denoeux, T.: Multi-label classification algorithm derived from k-nearest neighbor rule with label dependencies. In: Proc. of the 16th European Signal Processing Conference, Lausanne, Switzerland, August 25-29 (2008)
    • (2008) Proc. of the 16th European Signal Processing Conference
    • Younes, Z.1    Abdallah, F.2    Denoeux, T.3
  • 15
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    • ML-KNN:A lazy learning approach to multi-label learning
    • Zhang, M.-L., Zhou, Z.-H.: ML-KNN:A lazy learning approach to multi-label learning. Pattern Recognition 40(7), 2038-3048 (2007)
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    • Zhang, M.-L.1    Zhou, Z.-H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.