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Volumn 9, Issue 2-3, 2006, Pages 127-137

Classifier-independent feature selection on the basis of divergence criterion

Author keywords

Bayes classifier; Classifier independent feature selection; Garbage feature; Gaussian mixture; J divergence; Two stage feature selection

Indexed keywords


EID: 33749354173     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10044-006-0030-1     Document Type: Article
Times cited : (12)

References (34)
  • 1
    • 0036532821 scopus 로고    scopus 로고
    • A hybrid filter/wrapper approach of feature selection using information theory
    • Sebban M, Nock R (2002) A hybrid filter/wrapper approach of feature selection using information theory. Pattern Recognit 35(4):835-846
    • (2002) Pattern Recognit , vol.35 , Issue.4 , pp. 835-846
    • Sebban, M.1    Nock, R.2
  • 2
    • 3042527351 scopus 로고    scopus 로고
    • Fast branch & bound algorithms for optimal feature selection
    • Somol P, Pudil P, Kittler J (2004) Fast branch & bound algorithms for optimal feature selection. IEEE Trans Pattern Anal Mach Intell 26(7):900-912
    • (2004) IEEE Trans Pattern Anal Mach Intell , vol.26 , Issue.7 , pp. 900-912
    • Somol, P.1    Pudil, P.2    Kittler, J.3
  • 6
    • 84992726552 scopus 로고
    • Estimating attributes: Analysis and extensions of RELIEF
    • Bergadano F, De Raedt L (eds)
    • Kononenko I (1994) Estimating attributes: analysis and extensions of RELIEF. In: Bergadano F, De Raedt L (eds) Proceedings of the European Conference on Machine Learning, pp 171-182
    • (1994) Proceedings of the European Conference on Machine Learning , pp. 171-182
    • Kononenko, I.1
  • 7
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi R, John GH (1997) Wrappers for feature subset selection. Artif Intell 97(1-2):273-324
    • (1997) Artif Intell , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 9
    • 85013515810 scopus 로고
    • Comparative study of techniques for large-scale feature selection
    • Gelsema ES, Kanal LN (eds) Elsevier
    • Ferri FJ, Pudil P, Hatef M, Kittler J (1994) Comparative study of techniques for large-scale feature selection. In: Gelsema ES, Kanal LN (eds) Pattern Recognition in Practice, vol IV, Elsevier, pp 403-413
    • (1994) Pattern Recognition in Practice , vol.4 , pp. 403-413
    • Ferri, F.J.1    Pudil, P.2    Hatef, M.3    Kittler, J.4
  • 10
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • Blum AL, Langley P (1997) Selection of relevant features and examples in machine learning. Artif Intell 97(1-2):245-271
    • (1997) Artif Intell , vol.97 , Issue.1-2 , pp. 245-271
    • Blum, A.L.1    Langley, P.2
  • 11
    • 0033640901 scopus 로고    scopus 로고
    • Comparison of algorithms that select features for pattern classifiers
    • Kudo M, Sklansky J (2000) Comparison of algorithms that select features for pattern classifiers. Pattern Recognit 33(1):25-41
    • (2000) Pattern Recognit , vol.33 , Issue.1 , pp. 25-41
    • Kudo, M.1    Sklansky, J.2
  • 12
    • 0031224390 scopus 로고    scopus 로고
    • Use of contextual information for feature ranking and discretization
    • Hong S (1997) Use of contextual information for feature ranking and discretization. IEEE Trans Knowl Data Engineering 9(5):718-730
    • (1997) IEEE Trans Knowl Data Engineering , vol.9 , Issue.5 , pp. 718-730
    • Hong, S.1
  • 13
    • 85065703189 scopus 로고    scopus 로고
    • Correlation-based feature selection for discrete and numeric class machine learning
    • Langley P (ed)
    • Hall M (2000) Correlation-based feature selection for discrete and numeric class machine learning. In: Langley P (ed) Proceedings of the 17th International Conference on Machine Learning, pp 259-266
    • (2000) Proceedings of the 17th International Conference on Machine Learning , pp. 259-266
    • Hall, M.1
  • 14
    • 25144492516 scopus 로고    scopus 로고
    • Efficient feature selection via analysis of relevance and redundancy
    • Yu L, Liu H (2004) Efficient feature selection via analysis of relevance and redundancy. J Mach Learn Res 5:1205-1224
    • (2004) J Mach Learn Res , vol.5 , pp. 1205-1224
    • Yu, L.1    Liu, H.2
  • 16
    • 0036933407 scopus 로고    scopus 로고
    • Input feature selection by mutual information based on Parzen window
    • Kwak N, Choi CH (2002) Input feature selection by mutual information based on Parzen window. IEEE Trans Pattern Anal Mach Intell 24(12):1667-1671
    • (2002) IEEE Trans Pattern Anal Mach Intell , vol.24 , Issue.12 , pp. 1667-1671
    • Kwak, N.1    Choi, C.H.2
  • 17
    • 0042074099 scopus 로고    scopus 로고
    • PRISM - A novel framework for pattern recognition
    • Singh S (2003) PRISM - a novel framework for pattern recognition. Pattern Anal Appl 6(2):131-149
    • (2003) Pattern Anal Appl , vol.6 , Issue.2 , pp. 131-149
    • Singh, S.1
  • 18
    • 0347379706 scopus 로고    scopus 로고
    • Multiresolution estimates of classification complexity
    • Singh S (2003) Multiresolution estimates of classification complexity. IEEE Trans Pattern Recognit Mach Intell 25(12):1534-1539
    • (2003) IEEE Trans Pattern Recognit Mach Intell , vol.25 , Issue.12 , pp. 1534-1539
    • Singh, S.1
  • 20
    • 0036522441 scopus 로고    scopus 로고
    • Complexity measures of supervised classification problems
    • Ho TK, Basu M (2002) Complexity measures of supervised classification problems. IEEE Trans Pattern Anal Mach Intell 24(3):289-300
    • (2002) IEEE Trans Pattern Anal Mach Intell , vol.24 , Issue.3 , pp. 289-300
    • Ho, T.K.1    Basu, M.2
  • 22
    • 0027609196 scopus 로고
    • Feature selection based on the structural indices of categories
    • Kudo M, Shimbo M (1993) Feature selection based on the structural indices of categories. Pattern Recognit 26(6):891-901
    • (1993) Pattern Recognit , vol.26 , Issue.6 , pp. 891-901
    • Kudo, M.1    Shimbo, M.2
  • 23
    • 84947798316 scopus 로고
    • Relative feature importance: A classifier-independent approach to feature selection
    • Gelsema ES, Kanal LN (eds), Elsevier
    • Holz HJ, Loew MH (1994) Relative feature importance: a classifier-independent approach to feature selection. In: Gelsema ES, Kanal LN (eds) Pattern Recognition in Practice, vol IV, Elsevier, pp 473-487
    • (1994) Pattern Recognition in Practice , vol.4 , pp. 473-487
    • Holz, H.J.1    Loew, M.H.2
  • 24
    • 0018691958 scopus 로고
    • Some aspects of error bounds in feature selection
    • Boekee DE, Van der Lubbe JCA (1979) Some aspects of error bounds in feature selection. Pattern Recognit 11(5-6):353-360
    • (1979) Pattern Recognit , vol.11 , Issue.5-6 , pp. 353-360
    • Boekee, D.E.1    Van Der Lubbe, J.C.A.2
  • 25
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the em algorithm
    • Dempster AP, Laird NM, Rubin DB (1977) Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc 39(1):1-38
    • (1977) J R Stat Soc , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 26
    • 33244454864 scopus 로고
    • Robust clustering based on a maximum likelihood method for estimation of the suitable number of clusters
    • in Japanese
    • Ichimura N (1995) Robust clustering based on a maximum likelihood method for estimation of the suitable number of clusters. Transactions of the Institute of Electronics Information and Communication Engineers J78-D-II(8):1184-1195 (in Japanese)
    • (1995) Transactions of the Institute of Electronics Information and Communication Engineers , vol.J78-D-II , Issue.8 , pp. 1184-1195
    • Ichimura, N.1
  • 27
  • 28
    • 0001024505 scopus 로고
    • On the uniform convergence of relative frequencies of events to their probabilities
    • Vapnik VN, Chervonenkis AY (1971) On the uniform convergence of relative frequencies of events to their probabilities. Theory Probab Appl 16(2):264-280
    • (1971) Theory Probab Appl , vol.16 , Issue.2 , pp. 264-280
    • Vapnik, V.N.1    Chervonenkis, A.Y.2
  • 29
    • 0017480535 scopus 로고
    • A recursive partitioning decision rule for nonparametric classification
    • Friedman JH (1977) A recursive partitioning decision rule for nonparametric classification. IEEE Trans Comput 26:404-408
    • (1977) IEEE Trans Comput , vol.26 , pp. 404-408
    • Friedman, J.H.1
  • 31
    • 0030126917 scopus 로고    scopus 로고
    • Construction of class regions by a randomized algorithm: A randomized subclass method
    • Kudo M, Yanagi S, Shimbo M (1996) Construction of class regions by a randomized algorithm: a randomized subclass method. Pattern Recognit 29(4):581-588
    • (1996) Pattern Recognit , vol.29 , Issue.4 , pp. 581-588
    • Kudo, M.1    Yanagi, S.2    Shimbo, M.3
  • 34
    • 0000913324 scopus 로고    scopus 로고
    • SVMTorch: Support vector machines for large-scale regression problems
    • Collobert R, Bengio S (2001) SVMTorch: support vector machines for large-scale regression problems. J Mach Learn Res 1:143-160
    • (2001) J Mach Learn Res , vol.1 , pp. 143-160
    • Collobert, R.1    Bengio, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.