메뉴 건너뛰기




Volumn 43, Issue 2, 2003, Pages 667-673

Active learning with support vector machines in the drug discovery process

Author keywords

[No Author keywords available]

Indexed keywords

BIOCHEMISTRY; COMPUTER AIDED DESIGN; COMPUTER SIMULATION; DATA MINING; DRUG PRODUCTS; LEARNING ALGORITHMS;

EID: 0037365194     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci025620t     Document Type: Conference Paper
Times cited : (333)

References (22)
  • 1
    • 84899022519 scopus 로고    scopus 로고
    • Active learning in the drug discovery process
    • Dietterich, T. G., Becker, S., Ghahramani, Z., Eds.; MIT Press: Cambridge, MA
    • Warmuth, M. K.; Rätsch, G.; Mathieson, M.; Liao, J.; Lemmen, C. Active learning in the drug discovery process. In Adv. in Neural Inf. Proc. Sys. 14: Dietterich, T. G., Becker, S., Ghahramani, Z., Eds.; MIT Press: Cambridge, MA, 2002; pp 1449-1456,.
    • (2002) Adv. in Neural Inf. Proc. Sys. , vol.14 , pp. 1449-1456
    • Warmuth, M.K.1    Rätsch, G.2    Mathieson, M.3    Liao, J.4    Lemmen, C.5
  • 4
    • 84947767124 scopus 로고    scopus 로고
    • Learning using query by committee, linear separation and random walks
    • Proc. Eurocolt' 99; Springer: Heidelberg
    • Bachrach, R.; Fine, S.; Shamir, E. Learning using query by committee, linear separation and random walks. In Proc. Eurocolt' 99; Springer: Heidelberg, 2000; Vol. 1572 of LNAI, pp 34-49.
    • (2000) LNAI , vol.1572 , pp. 34-49
    • Bachrach, R.1    Fine, S.2    Shamir, E.3
  • 5
    • 0038399423 scopus 로고    scopus 로고
    • Query learning with large margin classifiers
    • Stanford, CA
    • Campbell, C.; Cristianini, N.; Smola, A. Query learning with large margin classifiers. In Proc. ICML2000; Stanford, CA, 2000; p 8.
    • (2000) Proc. ICML2000 , pp. 8
    • Campbell, C.1    Cristianini, N.2    Smola, A.3
  • 16
    • 85153971925 scopus 로고
    • Learning from queries for maximum information gain in imperfectly learnable problems
    • MIT Press
    • Sollich, P.; Saad, D. Learning from queries for maximum information gain in imperfectly learnable problems. In Adv. in Neural Inf. Proc. Sys. 7, MIT Press: 1995; pp 287-294.
    • (1995) Adv. in Neural Inf. Proc. Sys. , vol.7 , pp. 287-294
    • Sollich, P.1    Saad, D.2
  • 17
    • 0003007938 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • Morgan Kaufmann: San Francisco, CA
    • Tong, S.; Koller, D. Support vector machine active learning with applications to text classification. In Proc. 7th Int. Conf. Mach. Learning; Morgan Kaufmann: San Francisco, CA, 2000.
    • (2000) Proc. 7th Int. Conf. Mach. Learning
    • Tong, S.1    Koller, D.2
  • 22
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • Schölkopf, B., Burges, C. J. C., Smola, A. J., Eds.; MIT Press: Cambridge, MA
    • Joachims, T. Making large-scale SVM learning practical. In Advances in Kernel Methods - Support Vector Learning; Schölkopf, B., Burges, C. J. C., Smola, A. J., Eds.; MIT Press: Cambridge, MA, 1999; pp 169-184.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 169-184
    • Joachims, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.