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Volumn 3077, Issue , 2004, Pages 92-101

Combining one-class classifiers to classify missing data

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

EID: 35048859747     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-25966-4_9     Document Type: Article
Times cited : (42)

References (20)
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  • 4
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    • A reappraisal of distance-weighted k-nearest neighbor classification for pattern recognition with missing data
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    • (1981) IEEE Trans. Syst. Man Cybern. , vol.11 , pp. 241-243
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  • 5
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    • Consistent regression methods for discriminant analysis with incomplete data
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    • Little, R.J.A.1
  • 6
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    • Ghahramani, Z., Jordan, M.I.: Supervised learning from incomplete data via an em approach. In: NIPS. (1994)
    • (1994) NIPS
    • Ghahramani, Z.1    Jordan, M.I.2
  • 7
    • 0037753593 scopus 로고    scopus 로고
    • PhD thesis, Delft University of Technology
    • Tax, D.M.J.: One-class classification. PhD thesis, Delft University of Technology (2001)
    • (2001) One-class Classification
    • Tax, D.M.J.1
  • 8
    • 0000652102 scopus 로고
    • Some solutions to the missing feature problem in vision
    • Ahmad, S., Tresp, V.: Some solutions to the missing feature problem in vision. In: NIPS. (1993) 393-400
    • (1993) NIPS , pp. 393-400
    • Ahmad, S.1    Tresp, V.2
  • 10
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    • Combining one-class classifiers
    • Tax, D.M.J., Duin, R.P.W.: Combining one-class classifiers. In: MCS. (2001) 299-308
    • (2001) MCS , pp. 299-308
    • Tax, D.M.J.1    Duin, R.P.W.2
  • 11
    • 0036604999 scopus 로고    scopus 로고
    • Dissimilarity representations allow for building good classifiers
    • Pekalska, E., Duin, R.P.W.: Dissimilarity representations allow for building good classifiers. PR Letters 23 (2002) 943-956
    • (2002) PR Letters , vol.23 , pp. 943-956
    • Pekalska, E.1    Duin, R.P.W.2
  • 12
    • 0017017305 scopus 로고
    • On the choice of the smoothing parameters for parzen estimators of probability density functions
    • Duin, R.P.W.: On the choice of the smoothing parameters for parzen estimators of probability density functions. IEEE Transactions on Computers (1976)
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    • Duin, R.P.W.1
  • 13
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.