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Volumn 4571 LNAI, Issue , 2007, Pages 144-159

Nonlinear feature selection by relevance feature vector machine

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; LEARNING ALGORITHMS; NONLINEAR PROGRAMMING; PROBLEM SOLVING; SUPPORT VECTOR MACHINES;

EID: 37249046413     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73499-4_12     Document Type: Conference Paper
Times cited : (16)

References (21)
  • 1
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • Tipping, M.E.: Sparse Bayesian learning and the relevance vector machine. Journal of Machine Learning Research 1, 211-244 (2001)
    • (2001) Journal of Machine Learning Research , vol.1 , pp. 211-244
    • Tipping, M.E.1
  • 3
    • 33646895070 scopus 로고    scopus 로고
    • Nonlinear feature selection with the potential support vector machine
    • Guyon, I, Gunn, S, Nikravesh, M, Zadeh, L, eds, Springer, Berlin
    • Hochreiter, S., Obermayer, K.: Nonlinear feature selection with the potential support vector machine. In: Guyon, I., Gunn, S., Nikravesh, M., Zadeh, L. (eds.) Feature extraction, foundations and applications, Springer, Berlin (2005)
    • (2005) Feature extraction, foundations and applications
    • Hochreiter, S.1    Obermayer, K.2
  • 8
    • 37249029776 scopus 로고    scopus 로고
    • Aizerman, M.E., Braverman, Rozonoer, L.: Theoretical foundations of the potential function method in pattern recognition learning. Automation and Remote Control 25, 821-837 (1964)
    • Aizerman, M.E., Braverman, Rozonoer, L.: Theoretical foundations of the potential function method in pattern recognition learning. Automation and Remote Control 25, 821-837 (1964)
  • 10
    • 84899019663 scopus 로고    scopus 로고
    • Analysis of sparse bayesian learning
    • Dietterich, T, Becker, S, Ghahramani, Z, eds, MIT Press, Cambridge, MA
    • Faul, A., Tipping, M.E.: Analysis of sparse bayesian learning. In: Dietterich, T., Becker, S., Ghahramani, Z. (eds.) Advances in Neural Information Processing Systems 14, pp. 383-389. MIT Press, Cambridge, MA (2002)
    • (2002) Advances in Neural Information Processing Systems , vol.14 , pp. 383-389
    • Faul, A.1    Tipping, M.E.2
  • 12
    • 37249025005 scopus 로고    scopus 로고
    • Roth, V.: The Generalized LASSO, V. IEEE Transactions on Neural Networks, Dorffner, G. 15(1). (2004)
    • Roth, V.: The Generalized LASSO, V. IEEE Transactions on Neural Networks, Dorffner, G. vol. 15(1). (2004)
  • 14
    • 37248999725 scopus 로고    scopus 로고
    • Smola, A.J., Scholkopf, B.: A tutorial on support vector regression, NEUROCOLT Technical Report NC-TR-98-030, Royal Holloway College, London (1998)
    • Smola, A.J., Scholkopf, B.: A tutorial on support vector regression, NEUROCOLT Technical Report NC-TR-98-030, Royal Holloway College, London (1998)
  • 15
    • 24344458137 scopus 로고    scopus 로고
    • Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy
    • Long, F., Ding, C.: Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(8), 1226-1238 (2005)
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.8 , pp. 1226-1238
    • Long, F.1    Ding, C.2
  • 16
    • 37249006161 scopus 로고    scopus 로고
    • Guiasu, Silviu.: Information Theory with Applications. McGraw-Hill, New York (1977)
    • Guiasu, Silviu.: Information Theory with Applications. McGraw-Hill, New York (1977)
  • 17
    • 84858495135 scopus 로고    scopus 로고
    • Tipping, M.E.: Microsoft Corporation, http://research.microsoft.com/MLP/ RVM/
    • Tipping, M.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.