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Volumn 2006, Issue , 2006, Pages 1009-1016

Inference with the Universum

Author keywords

[No Author keywords available]

Indexed keywords

BINARY CODES; DATA REDUCTION; ENCODING (SYMBOLS); KNOWLEDGE REPRESENTATION; OPTIMIZATION; PATTERN RECOGNITION;

EID: 33749257884     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (91)

References (13)
  • 5
    • 0008847393 scopus 로고
    • From data distributions to regularization in invariant learning
    • Cambridge MA: MIT Press
    • Leen, T. K. (1995). From data distributions to regularization in invariant learning. Advances in Neural information processing systems 7. Cambridge MA: MIT Press.
    • (1995) Advances in Neural Information Processing Systems , vol.7
    • Leen, T.K.1
  • 6
    • 84876811202 scopus 로고    scopus 로고
    • Rcv1: A new benchmark collection for text categorization research
    • Lewis, D. D., Yang, Y., Rose, T., & Li, F. (2004). Rcv1: A new benchmark collection for text categorization research. Journal of Machine Learning Research, 5, 361-397.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 361-397
    • Lewis, D.D.1    Yang, Y.2    Rose, T.3    Li, F.4
  • 7
    • 0000963583 scopus 로고
    • Linear and nonlinear separation of patterns by linear programming
    • Mangasarian, O. L. (1965). Linear and nonlinear separation of patterns by linear programming. Operations Research, 13, 444-452.
    • (1965) Operations Research , vol.13 , pp. 444-452
    • Mangasarian, O.L.1
  • 8
    • 0032203371 scopus 로고    scopus 로고
    • Incorporating prior information in machine learning by creating virtual examples
    • Niyogi, P., Girosi, F., & Poggio, T. (1998). Incorporating prior information in machine learning by creating virtual examples. Proceedings of the IEEE, 86, 2196-2209.
    • (1998) Proceedings of the IEEE , vol.86 , pp. 2196-2209
    • Niyogi, P.1    Girosi, F.2    Poggio, T.3
  • 9
    • 84902142380 scopus 로고    scopus 로고
    • Incorporating invariances in support vector learning machines
    • Berlin: Springer Lecture Notes in Computer Science
    • Schölkopf, B., Burges, C., & Vapnik, V. (1996). Incorporating invariances in support vector learning machines. Artificial Neural Networks - ICANN'96 (pp. 47-52). Berlin: Springer Lecture Notes in Computer Science, Vol. 1112.
    • (1996) Artificial Neural Networks - ICANN'96 , vol.1112 , pp. 47-52
    • Schölkopf, B.1    Burges, C.2    Vapnik, V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.