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Volumn 2015-January, Issue , 2015, Pages 2260-2268

Mind the gap: A generative approach to interpretable feature selection and extraction

Author keywords

[No Author keywords available]

Indexed keywords

EXTRACTION; INFORMATION SCIENCE;

EID: 84965150991     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (99)

References (32)
  • 1
    • 39749093168 scopus 로고
    • The magical number seven, plus or minus two: Some limits on our capacity for processing information
    • March
    • G. A. Miller, "The magical number seven, plus or minus two: Some limits on our capacity for processing information", The Psychological Review, pp. 81-97, March 1956.
    • (1956) The Psychological Review , pp. 81-97
    • Miller, G.A.1
  • 2
    • 0141607824 scopus 로고    scopus 로고
    • Latent Dirichlet allocation
    • D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent Dirichlet allocation", JMLR, pp. 3:993-1022, 2003.
    • (2003) JMLR , vol.3 , pp. 993-1022
    • Blei, D.M.1    Ng, A.Y.2    Jordan, M.I.3
  • 4
    • 84866872818 scopus 로고    scopus 로고
    • Fully sparse topic models
    • K. Than and T. B. Ho, "Fully sparse topic models", in ECML-PKDD, pp. 490-505, 2012.
    • (2012) ECML-PKDD , pp. 490-505
    • Than, K.1    Ho, T.B.2
  • 5
    • 77956537774 scopus 로고    scopus 로고
    • The ibp compound dirichlet process and its application to focused topic modeling
    • S. Williamson, C. Wang, K. Heller, and D. Blei, "The ibp compound dirichlet process and its application to focused topic modeling", ICML, 2010.
    • (2010) ICML
    • Williamson, S.1    Wang, C.2    Heller, K.3    Blei, D.4
  • 6
    • 84884541998 scopus 로고    scopus 로고
    • Sparse subspace clustering: Algorithm, theory, and applications
    • E. Elhamifar and R. Vidal, "Sparse subspace clustering: Algorithm, theory, and applications", IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 11, pp. 2765-2781, 2013.
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell. , vol.35 , Issue.11 , pp. 2765-2781
    • Elhamifar, E.1    Vidal, R.2
  • 7
    • 0032090765 scopus 로고    scopus 로고
    • Automatic subspace clustering of high dimensional data for data mining applications
    • June
    • R. Agrawal, J. Gehrke, D. Gunopulos, and P. Raghavan, "Automatic subspace clustering of high dimensional data for data mining applications", SIGMOD Rec., vol. 27, pp. 94-105, June 1998.
    • (1998) SIGMOD Rec. , vol.27 , pp. 94-105
    • Agrawal, R.1    Gehrke, J.2    Gunopulos, D.3    Raghavan, P.4
  • 8
    • 84937824985 scopus 로고    scopus 로고
    • The Bayesian case model: A generative approach for case-based reasoning and prototype classification
    • B. Kim, C. Rudin, and J. A. Shah, "The Bayesian Case Model: A generative approach for case-based reasoning and prototype classification", in NIPS, 2014.
    • (2014) NIPS
    • Kim, B.1    Rudin, C.2    Shah, J.A.3
  • 9
    • 84965131676 scopus 로고    scopus 로고
    • Differential diagnosis in primary care
    • R. K, "Differential diagnosis in primary care", JAMA, vol. 307, no. 14, pp. 1533-1534, 2012.
    • (2012) JAMA , vol.307 , Issue.14 , pp. 1533-1534
  • 10
    • 0032544993 scopus 로고    scopus 로고
    • What's the relative risk?: A method of correcting the odds ratio in cohort studies of common outcomes
    • Z. J and Y. KF, "What's the relative risk?: A method of correcting the odds ratio in cohort studies of common outcomes", JAMA, vol. 280, no. 19, pp. 1690-1691, 1998.
    • (1998) JAMA , vol.280 , Issue.19 , pp. 1690-1691
  • 12
    • 84965151390 scopus 로고    scopus 로고
    • Unsupervised variable selection: When random rankings sound as irrelevancy
    • S. Guérif, "Unsupervised variable selection: when random rankings sound as irrelevancy.", in FSDM, 2008.
    • (2008) FSDM
    • Guérif, S.1
  • 16
    • 26444454606 scopus 로고    scopus 로고
    • Feature selection for unsupervised learning
    • J. G. Dy and C. E. Brodley, "Feature selection for unsupervised learning", JMLR, pp. 5:845-889, 2004.
    • (2004) JMLR , vol.5 , pp. 845-889
    • Dy, J.G.1    Brodley, C.E.2
  • 17
    • 80053445974 scopus 로고    scopus 로고
    • A unified probabilistic model for global and local unsupervised feature selection
    • Y. Guan, J. G. Dy, and M. I. Jordan, "A unified probabilistic model for global and local unsupervised feature selection.", in ICML, pp. 1073-1080, 2011.
    • (2011) ICML , pp. 1073-1080
    • Guan, Y.1    Dy, J.G.2    Jordan, M.I.3
  • 18
    • 84876887338 scopus 로고    scopus 로고
    • Online learning of a dirichlet process mixture of generalized dirichlet distributions for simultaneous clustering and localized feature selection
    • W. Fan and N. Bouguila, "Online learning of a dirichlet process mixture of generalized dirichlet distributions for simultaneous clustering and localized feature selection.", in ACML, pp. 113-128, 2012.
    • (2012) ACML , pp. 113-128
    • Fan, W.1    Bouguila, N.2
  • 19
    • 77956209448 scopus 로고    scopus 로고
    • Document clustering via dirichlet process mixture model with feature selection
    • ACM
    • G. Yu, R. Huang, and Z. Wang, "Document clustering via dirichlet process mixture model with feature selection", in KDD, pp. 763-772, ACM, 2010.
    • (2010) KDD , pp. 763-772
    • Yu, G.1    Huang, R.2    Wang, Z.3
  • 21
    • 0033749212 scopus 로고    scopus 로고
    • Classification and regression trees: A powerful yet simple technique for ecological data analysis
    • G. De'ath and K. E. Fabricius, "Classification and regression trees: a powerful yet simple technique for ecological data analysis", Ecology, vol. 81, no. 11, pp. 3178-3192, 2000.
    • (2000) Ecology , vol.81 , Issue.11 , pp. 3178-3192
    • De'ath, G.1    Fabricius, K.E.2
  • 22
    • 65749118363 scopus 로고    scopus 로고
    • Graphical models, exponential families, and variational inference
    • M. J. Wainwright and M. I. Jordan, "Graphical models, exponential families, and variational inference", Foundations and Trends in Machine Learning, vol. 1, no. 1-2, pp. 1-305, 2008.
    • (2008) Foundations and Trends in Machine Learning , vol.1 , Issue.1-2 , pp. 1-305
    • Wainwright, M.J.1    Jordan, M.I.2
  • 24
    • 49449116296 scopus 로고    scopus 로고
    • The discovery of structural form
    • C. Kemp and J. B. Tenenbaum, "The discovery of structural form", PNAS, 2008.
    • (2008) PNAS
    • Kemp, C.1    Tenenbaum, J.B.2
  • 25
    • 84891815406 scopus 로고    scopus 로고
    • Comorbidity clusters in autism spectrum disorders: An electronic health record time-series analysis
    • F. Doshi-Velez, Y. Ge, and I. Kohane, "Comorbidity clusters in autism spectrum disorders: an electronic health record time-series analysis", Pediatrics, vol. 133, no. 1, pp. e54-e63, 2014.
    • (2014) Pediatrics , vol.133 , Issue.1 , pp. e54-e63
    • Doshi-Velez, F.1    Ge, Y.2    Kohane, I.3
  • 27
    • 85161965416 scopus 로고    scopus 로고
    • Structured determinantal point processes
    • A. Kulesza and B. Taskar, "Structured determinantal point processes", in NIPS, 2010.
    • (2010) NIPS
    • Kulesza, A.1    Taskar, B.2
  • 28
    • 84877737917 scopus 로고    scopus 로고
    • Priors for diversity in generative latent variable models
    • J. Y. Zou and R. P. Adams, "Priors for diversity in generative latent variable models", in NIPS, 2012.
    • (2012) NIPS
    • Zou, J.Y.1    Adams, R.P.2
  • 30
    • 80053452684 scopus 로고    scopus 로고
    • Sparse additive generative models of text
    • J. Eisenstein, A. Ahmed, and E. P. Xing, "Sparse additive generative models of text", ICML, 2011.
    • (2011) ICML
    • Eisenstein, J.1    Ahmed, A.2    Xing, E.P.3
  • 31
  • 32
    • 71149117321 scopus 로고    scopus 로고
    • Medlda: Maximum margin supervised topic models for regression and classification
    • ACM
    • J. Zhu, A. Ahmed, and E. P. Xing, "Medlda: maximum margin supervised topic models for regression and classification", in ICML, pp. 1257-1264, ACM, 2009.
    • (2009) ICML , pp. 1257-1264
    • Zhu, J.1    Ahmed, A.2    Xing, E.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.