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Volumn 2006, Issue , 2006, Pages 544-549

Using validation sets to avoid overfilling in adaBoost

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; EDUCATION; STANDARDS;

EID: 33746040864     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (30)

References (16)
  • 4
    • 0003642109 scopus 로고    scopus 로고
    • Boosting and naive bayesian learning
    • Technical report. Department of Computer Science and Engineering, University of California, San Diego, CA, Freund, Y., and Schapire, R. E. 1996. Experiments with a new b(K)sting algorithm.
    • Elkan, C. 1997. Boosting and naive bayesian learning. Technical report. Department of Computer Science and Engineering, University of California, San Diego, CA, Freund, Y., and Schapire, R. E. 1996. Experiments with a new b(K)sting algorithm. In Proc. Thirteenth Int. Conf. on Machine Learning, 148-156.
    • (1997) Proc. Thirteenth Int. Conf. on Machine Learning , pp. 148-156
    • Elkan, C.1
  • 5
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freund, Y., and Sehapire, R. E. 1997. A decision-theoretic generalization of on-line learning and an application to boosting, J. of Computer and System Sciences 55(1):119-139.
    • (1997) J. of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Sehapire, R.E.2
  • 10
    • 0042112246 scopus 로고    scopus 로고
    • Process consistency for adaboost
    • Department of Statistics, Northwestern University
    • Jiang, W. 2000. Process consistency for adaboost. Technical report, Department of Statistics, Northwestern University.
    • (2000) Technical Report
    • Jiang, W.1
  • 14
    • 2542488394 scopus 로고    scopus 로고
    • Smooth boosting and learning with malicious noise
    • Servedio, R. A. 2003. Smooth boosting and learning with malicious noise. J. of Machine Learning Research 4:633-648.
    • (2003) J. of Machine Learning Research , vol.4 , pp. 633-648
    • Servedio, R.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.