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Volumn 2, Issue , 2014, Pages 1355-1361

Feature selection at the discrete limit

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EID: 84908156166     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (56)

References (31)
  • 1
    • 84864063089 scopus 로고    scopus 로고
    • Multi-task feature learning
    • Argyriou, A.; Evgeniou, T.; and Pontil, M. 2007. Multi-task feature learning. In NIPS, 41-48.
    • (2007) NIPS , pp. 41-48
    • Argyriou, A.1    Evgeniou, T.2    Pontil, M.3
  • 2
    • 0028468293 scopus 로고
    • Using mutual information for selecting features in supervised neural net learning
    • Battiti, R. 1994. Using mutual information for selecting features in supervised neural net learning. IEEE Transactions on Neural Networks 5:537-550.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , pp. 537-550
    • Battiti, R.1
  • 5
    • 84960463485 scopus 로고    scopus 로고
    • Minimum redundancy feature selection from microarray gene expression data
    • Ding, C., and Peng, H. 2003. Minimum redundancy feature selection from microarray gene expression data. In J Bioinform Comput Biol, 523-529.
    • (2003) J Bioinform Comput Biol , pp. 523-529
    • Ding, C.1    Peng, H.2
  • 6
    • 33749255817 scopus 로고    scopus 로고
    • Rl-PCA: Rotational invariant li-norm principal component analysis for robust subspace factorization
    • Ding, C.; Zhou, D.; He, X.; and Zha, H. 2006. Rl-PCA: Rotational invariant LI-norm principal component analysis for robust subspace factorization. Proc. Int'l Conf. Machine Learning (ICML).
    • (2006) Proc. Int'l Conf. Machine Learning (ICML)
    • Ding, C.1    Zhou, D.2    He, X.3    Zha, H.4
  • 7
    • 0036377379 scopus 로고    scopus 로고
    • Analysis of gene expression profiles: Class discovery and leaf ordering
    • ACM Press
    • Ding, C. 2002. Analysis of gene expression profiles: Class discovery and leaf ordering. In In Proc. 6th Int'l Conf. Research in Comp. Mol. Bio.(RECOMB 2002), 127-136. ACM Press.
    • (2002) thInt'l Conf. Research in Comp. Mol. Bio.(RECOMB 2002) , pp. 127-136
    • Ding, C.1
  • 8
    • 0034592781 scopus 로고    scopus 로고
    • Data selection for support vector machine classifiers
    • Fung, G., and Mangasarian, O. L. 2000. Data selection for support vector machine classifiers. In KDD, 64-70.
    • (2000) KDD , pp. 64-70
    • Fung, G.1    Mangasarian, O.L.2
  • 9
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon, I.; Weston, J.; Barnhill, S.; and Vapnik, V. 2002. Gene selection for cancer classification using support vector machines. Mach. Learn. 46(1-3):389-422.
    • (2002) Mach. Learn. , vol.46 , Issue.1-3 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 12
    • 77956506018 scopus 로고    scopus 로고
    • Proximal methods for sparse hierarchical dictionary learning
    • Jenatton, R.; Mairal, J.; Obozinski, G.; and Bach, F. 2010. Proximal methods for sparse hierarchical dictionary learning. In ICML, 487-494.
    • (2010) ICML , pp. 487-494
    • Jenatton, R.1    Mairal, J.2    Obozinski, G.3    Bach, F.4
  • 13
    • 71149103464 scopus 로고    scopus 로고
    • An accelerated gradient method for trace norm minimization
    • Ji, S., and Ye, J. 2009. An accelerated gradient method for trace norm minimization. In ICML.
    • (2009) ICML
    • Ji, S.1    Ye, J.2
  • 15
    • 85146422424 scopus 로고
    • A practical approach to feature selection
    • Kira, K., and Rendell, L. A. 1992. A practical approach to feature selection. In ML, 249-256.
    • (1992) ML , pp. 249-256
    • Kira, K.1    Rendell, L.A.2
  • 16
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi, R., and John, G. H. 1997. Wrappers for feature subset selection. ARTIFICIAL INTELLIGENCE 97(1):273- 324.
    • (1997) Artificial Intelligence , vol.97 , Issue.1 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 17
    • 84896861058 scopus 로고    scopus 로고
    • Efficient algorithms for selecting features with arbitrary group constraints via group lasso
    • Kong, D., and Ding, C. H. Q. 2013. Efficient algorithms for selecting features with arbitrary group constraints via group lasso. In ICDM, 379-388.
    • (2013) ICDM , pp. 379-388
    • Kong, D.1    Ding, C.H.Q.2
  • 18
    • 84866673280 scopus 로고    scopus 로고
    • Multi-label relieff and f-statistic feature selections for image annotation
    • Kong, D.; Ding, C. H. Q.; Huang, H.; and Zhao, H. 2012. Multi-label relieff and f-statistic feature selections for image annotation. In CVPR, 2352-2359.
    • (2012) CVPR , pp. 2352-2359
    • Kong, D.1    Ding, C.H.Q.2    Huang, H.3    Zhao, H.4
  • 22
    • 67651063011 scopus 로고    scopus 로고
    • Gradient methods for minimizing composite objective function
    • Nesterov, Y. 2007. gradient methods for minimizing composite objective function. CORE technical report.
    • (2007) CORE Technical Report
    • Nesterov, Y.1
  • 23
    • 14344249889 scopus 로고    scopus 로고
    • Feature selection, 11 vs 12 regularization, and rotational invariance
    • Ng, A. Y. 2004. Feature selection, 11 vs 12 regularization, and rotational invariance. In ICML.
    • (2004) ICML
    • Ng, A.Y.1
  • 24
    • 85135939782 scopus 로고    scopus 로고
    • Efficient and robust feature selection via joint 12, 1-norms minimization
    • Nie, F.; Huang, H.; Cai, X.; and Ding, C. H. Q. 2010. Efficient and robust feature selection via joint 12, 1-norms minimization. In NIPS, 1813-1821.
    • (2010) NIPS , pp. 1813-1821
    • Nie, F.1    Huang, H.2    Cai, X.3    Ding, C.H.Q.4
  • 27
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
    • Peng, H.; Long, F.; and Ding, C. 2005. Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Transactions on Pattern Analysis and Machine Intelligence 27:1226-1238.
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 29
    • 34547983091 scopus 로고    scopus 로고
    • Hybrid huberized support vector machines for microarray classification
    • Wang, L.; Zhu, J.; and Zou, H. 2007. Hybrid huberized support vector machines for microarray classification. In ICML '07: Proceedings of the 24th International Conference on Machine Learning, 983-990.
    • (2007) th International Conference on Machine Learning , pp. 983-990
    • Wang, L.1    Zhu, J.2    Zou, H.3
  • 31
    • 34249855141 scopus 로고    scopus 로고
    • MSVM-RFE: Extensions of SVM-RFE for multiclass gene selection on DNA microarray data
    • Zhou, X., and Tuck, D. P. 2007. Msvm-rfe: extensions of svm-rfe for multiclass gene selection on dna microarray data. Bioinformatics 23(9): 1106-1114.
    • (2007) Bioinformatics , vol.23 , Issue.9 , pp. 1106-1114
    • Zhou, X.1    Tuck, D.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.