메뉴 건너뛰기




Volumn 27, Issue 9, 2005, Pages 1496-1500

LESS: A model-based classifier for sparse subspaces

Author keywords

Classification; Feature subset selection; High dimensional; Mathematical programming; Support vector machine

Indexed keywords

FEATURE EXTRACTION; MATHEMATICAL MODELS; MATHEMATICAL PROGRAMMING; MATRIX ALGEBRA; OPTIMIZATION; QUADRATIC PROGRAMMING;

EID: 25844477556     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2005.182     Document Type: Article
Times cited : (32)

References (24)
  • 1
    • 0033536012 scopus 로고    scopus 로고
    • "Broad Patterns of Gene Expression Revealed by Clustering of Tumor and Normal Colon Tissues Probed by Oligonucleotide Arrays"
    • U. Alon, N. Barkai, D.A. Notterman, K. Gish, S. Ybarra, D. Mack, and A.J. Levine, "Broad Patterns of Gene Expression Revealed by Clustering of Tumor and Normal Colon Tissues Probed by Oligonucleotide Arrays," Proc. Nat'l Academy of Sciences, vol. 96, no. 12, pp. 6745-6750, 1999.
    • (1999) Proc. Nat'l Academy of Sciences , vol.96 , Issue.12 , pp. 6745-6750
    • Alon, U.1    Barkai, N.2    Notterman, D.A.3    Gish, K.4    Ybarra, S.5    Mack, D.6    Levine, A.J.7
  • 3
    • 12244293651 scopus 로고    scopus 로고
    • "Simultaneous Classification and Relevant Feature Identification in High-Dimensional Spaces: Application to Molecular Profiling Data"
    • C. Bhattacharyya, L.R. Grate, A. Rizki, D. Radisky, F.J. Molina, M.I. Jordan, M.J. Bissel, and I.S. Mian, "Simultaneous Classification and Relevant Feature Identification in High-Dimensional Spaces: Application to Molecular Profiling Data," Signal Processing, vol. 83, pp. 729-743, 2003.
    • (2003) Signal Processing , vol.83 , pp. 729-743
    • Bhattacharyya, C.1    Grate, L.R.2    Rizki, A.3    Radisky, D.4    Molina, F.J.5    Jordan, M.I.6    Bissel, M.J.7    Mian, I.S.8
  • 4
    • 0003408496 scopus 로고    scopus 로고
    • "UCI Repository of Machine Learning Databases"
    • C.L. Blake and C.J. Merz, "UCI Repository of Machine Learning Databases," 1998.
    • (1998)
    • Blake, C.L.1    Merz, C.J.2
  • 6
    • 0346702486 scopus 로고
    • "Better Subset Selection Using Non-Negative Garotte"
    • technical report, Univ. of California, Berkeley
    • L. Breiman, "Better Subset Selection Using Non-Negative Garotte," technical report, Univ. of California, Berkeley, 1993.
    • (1993)
    • Breiman, L.1
  • 7
    • 27144489164 scopus 로고    scopus 로고
    • "A Tutorial on Support Vector Machines for Pattern Recognition"
    • C.J.C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition," Data Mining and Knowledge Discovery, vol. 2, no. 2, pp. 121-167, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 8
    • 0031191557 scopus 로고    scopus 로고
    • "Feature Subset Selection within a Simulated Annealing Data Mining Algorithm"
    • J.C.W. Debuse and V.J. Rayward-Smith, "Feature Subset Selection within a Simulated Annealing Data Mining Algorithm," J. Intelligent Information Systems, vol. 9, no. 1, pp. 57-81, 1997.
    • (1997) J. Intelligent Information Systems , vol.9 , Issue.1 , pp. 57-81
    • Debuse, J.C.W.1    Rayward-Smith, V.J.2
  • 10
    • 25844453935 scopus 로고    scopus 로고
    • "Free Software Foundation"
    • "Free Software Foundation," GNU Linear Programming Kit, http://www.gnu.org, 2005.
    • (2005) GNU Linear Programming Kit
  • 13
    • 0023843391 scopus 로고
    • "Analysis of Hidden Units in a Layered Network Trained to Classify Sonar Targets"
    • R.P. Gorman and T.J. Sejnowski, "Analysis of Hidden Units in a Layered Network Trained to Classify Sonar Targets," Neural Networks, vol. 1, pp. 75-89, 1988.
    • (1988) Neural Networks , vol.1 , pp. 75-89
    • Gorman, R.P.1    Sejnowski, T.J.2
  • 14
    • 0242653758 scopus 로고    scopus 로고
    • "Using a Genetic Algorithm and a Perceptron for Feature Selection and Supervised Class Learning in DNA Microarray Data"
    • M. Karzynski, A. Mateos, J. Herrero, and J. Dopazo, "Using a Genetic Algorithm and a Perceptron for Feature Selection and Supervised Class Learning in DNA Microarray Data," Artificial Intelligence Rev., vol. 20, pp. 39-51, 2003.
    • (2003) Artificial Intelligence Rev. , vol.20 , pp. 39-51
    • Karzynski, M.1    Mateos, A.2    Herrero, J.3    Dopazo, J.4
  • 15
    • 0031381525 scopus 로고    scopus 로고
    • "Wrappers for Feature Subset Selection"
    • Dec
    • R. Kohavi and G.H. John, "Wrappers for Feature Subset Selection," Artificial Intelligence, vol. 97, pp. 273-324, Dec. 1997.
    • (1997) Artificial Intelligence , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 16
    • 25844520455 scopus 로고    scopus 로고
    • "Mosek Optimization Toolbox"
    • "Mosek Optimization Toolbox," http://www.mosek.com, 2005.
    • (2005)
  • 20
    • 0001287271 scopus 로고    scopus 로고
    • "Regression Shrinkage and Selection via the LASSO"
    • R. Tibshirani, "Regression Shrinkage and Selection via the LASSO," J. Royal Statistical Soc. B, vol. 58, no. 1, pp. 267-288, 1996.
    • (1996) J. Royal Statistical Soc. B , vol.58 , Issue.1 , pp. 267-288
    • Tibshirani, R.1
  • 21
    • 0037076272 scopus 로고    scopus 로고
    • "Diagnosis of Multiple Cancer Types by Shrunken Centroids of Gene Expression"
    • R. Tibshirani, T. Hastie, B. Balastibramanian, and G. Chu, "Diagnosis of Multiple Cancer Types by Shrunken Centroids of Gene Expression," Proc. Nat'l Academy of Sciences, vol. 99, no. 10, pp. 6567-6572, 2002.
    • (2002) Proc. Nat'l Academy of Sciences , vol.99 , Issue.10 , pp. 6567-6572
    • Tibshirani, R.1    Hastie, T.2    Balastibramanian, B.3    Chu, G.4
  • 24
    • 0035294798 scopus 로고    scopus 로고
    • "Feature Selection Using Tabu Search Method"
    • H. Zhang and G. Sun, "Feature Selection Using Tabu Search Method," Pattern Recognition, vol. 35, pp. 701-711, 2002.
    • (2002) Pattern Recognition , vol.35 , pp. 701-711
    • Zhang, H.1    Sun, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.