메뉴 건너뛰기




Volumn , Issue , 2005, Pages 561-568

The cross entropy method for classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); ERROR ANALYSIS; LINEAR PROGRAMMING; OPTIMIZATION; PROBLEM ORIENTED LANGUAGES;

EID: 31944444011     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1102351.1102422     Document Type: Conference Paper
Times cited : (283)

References (20)
  • 5
    • 0038895405 scopus 로고    scopus 로고
    • Training nusupport vector regression: Theory and algorithms
    • Chang, C.-C., & Lin, C.-J. (2002). Training nusupport vector regression: theory and algorithms. Neural Computation, 14, 1959-1977.
    • (2002) Neural Computation , vol.14 , pp. 1959-1977
    • Chang, C.-C.1    Lin, C.-J.2
  • 9
    • 0029521676 scopus 로고
    • Sample compression, learnability, and the Vapnik-Chervonenkis dimension
    • Floyd, S., & Warmuth, M. (1995). Sample compression, learnability, and the Vapnik-Chervonenkis dimension. Machine Learning, 21, 269-304.
    • (1995) Machine Learning , vol.21 , pp. 269-304
    • Floyd, S.1    Warmuth, M.2
  • 14
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • In B. Schölkopf, C. Burges and A. Smola (Eds.), MIT press.
    • Platt, J. (1998). Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C. Burges and A. Smola (Eds.), Advances in kernel methods - support vector learning. MIT press.
    • (1998) Advances in Kernel Methods - Support Vector Learning
    • Platt, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.