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Volumn 5519 LNCS, Issue , 2009, Pages 304-313

Criteria ensembles in feature selection

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIER PERFORMANCE; DATA SETS; FEATURE SELECTION; FEATURE SELECTION METHODS; FEATURE SUBSET; GENERALIZATION ABILITY; K-NEAREST NEIGHBOR CLASSIFIER; MULTIPLE FEATURES; OVERFITTING; SEQUENTIAL SEARCH; TEST DATA;

EID: 70349319696     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02326-2_31     Document Type: Conference Paper
Times cited : (5)

References (16)
  • 3
    • 34250857528 scopus 로고    scopus 로고
    • Ensemble Feature Selection: Consistent Descriptor Subsets for Multiple QSAR Models
    • Dutta, D., Guha, R., Wild, D., Chen, T.: Ensemble Feature Selection: Consistent Descriptor Subsets for Multiple QSAR Models. J. Chem. Inf. Model. 47(3), 989-997 (2007)
    • (2007) J. Chem. Inf. Model , vol.47 , Issue.3 , pp. 989-997
    • Dutta, D.1    Guha, R.2    Wild, D.3    Chen, T.4
  • 4
    • 85131707826 scopus 로고    scopus 로고
    • Emmanouilidis, C., Hunter, A., MacIntyre, J., Cox, C.: Multiple-criteria genetic algorithms for feature selection inneuro-fuzzy modeling. In: Proc. Int. Joint Conf. on Neural Networks, 6, pp. 4387-4392 (1999)
    • Emmanouilidis, C., Hunter, A., MacIntyre, J., Cox, C.: Multiple-criteria genetic algorithms for feature selection inneuro-fuzzy modeling. In: Proc. Int. Joint Conf. on Neural Networks, vol. (6), pp. 4387-4392 (1999)
  • 5
    • 23844545305 scopus 로고    scopus 로고
    • Feature selection algorithms for the generation of multiple classifier systems and their application to handwritten word recognition
    • Günter, S., Bunke, H.: Feature selection algorithms for the generation of multiple classifier systems and their application to handwritten word recognition. Pattern Recogn. Lett. 25(11), 1323-1336 (2004)
    • (2004) Pattern Recogn. Lett , vol.25 , Issue.11 , pp. 1323-1336
    • Günter, S.1    Bunke, H.2
  • 7
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi, R., John, G.: Wrappers for feature subset selection. Artificial Intelligence 97, 273-324 (1997)
    • (1997) Artificial Intelligence , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.2
  • 11
    • 33749612557 scopus 로고    scopus 로고
    • Feature over-selection
    • Yeung, D.-Y, Kwok, J.T, Fred, A, Roli, F, de Ridder, D, eds, SSPR 2006 and SPR 2006, Springer, Heidelberg
    • Raudys, S.: Feature over-selection. In: Yeung, D.-Y., Kwok, J.T., Fred, A., Roli, F., de Ridder, D. (eds.) SSPR 2006 and SPR 2006. LNCS, vol. 4109, pp. 622-631. Springer, Heidelberg (2006)
    • (2006) LNCS , vol.4109 , pp. 622-631
    • Raudys, S.1
  • 14
    • 58349093749 scopus 로고    scopus 로고
    • Somol, P., Novovi?cová, J.: Evaluating the stability of feature selectors that optimize feature subset cardinality. In: Proc. SSPR/SPR. LNCS, 5342, pp. 956-966. Springer, Heidelberg (2008)
    • Somol, P., Novovi?cová, J.: Evaluating the stability of feature selectors that optimize feature subset cardinality. In: Proc. SSPR/SPR. LNCS, vol. 5342, pp. 956-966. Springer, Heidelberg (2008)
  • 15
    • 77957957188 scopus 로고    scopus 로고
    • Somol, P., Novovi?cová, J., Pudil, P., Grim, J.: Dynamic oscillating search algorithm for feature selection. In: Proc. 19th IAPR Int. Conf. on Pattern Recognition. IEEE Computer Society Press, Tampa (2008) file: WeAT9.15.pdf
    • Somol, P., Novovi?cová, J., Pudil, P., Grim, J.: Dynamic oscillating search algorithm for feature selection. In: Proc. 19th IAPR Int. Conf. on Pattern Recognition. IEEE Computer Society Press, Tampa (2008) file: WeAT9.15.pdf
  • 16
    • 0015125457 scopus 로고
    • A direct method of nonparametric measurement selection
    • Whitney, A.W.: A direct method of nonparametric measurement selection. IEEE Trans. Comput. 20(9), 1100-1103 (1971)
    • (1971) IEEE Trans. Comput , vol.20 , Issue.9 , pp. 1100-1103
    • Whitney, A.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.