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Volumn 3070, Issue , 2004, Pages 1020-1025

Application of SVM to ovarian cancer classification problem

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; LEARNING SYSTEMS; OPTIMIZATION; PROBLEM SOLVING; TUMORS;

EID: 9444233419     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24844-6_159     Document Type: Conference Paper
Times cited : (4)

References (14)
  • 1
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges, J.C.: A Tutorial on Support Vector Machines for Pattern Recognition, Vol.2., No.2. In: Data Mining and Knowledge Discovery (1998)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2
    • Burges, J.C.1
  • 4
    • 0003425664 scopus 로고    scopus 로고
    • Support vector machines for classification and regression
    • Southampton
    • Gunn, S.: Support Vector Machines for Classification and Regression. ISIS Technical Report, Southampton (1998)
    • (1998) ISIS Technical Report
    • Gunn, S.1
  • 8
    • 0004255908 scopus 로고    scopus 로고
    • The McGraw-Hill Companies Inc., New York London Madrid Montreal Singapore Sydney Tokyo
    • Mitchell, T.M.: Machine Learning. The McGraw-Hill Companies Inc., New York London Madrid Montreal Singapore Sydney Tokyo (1997)
    • (1997) Machine Learning
    • Mitchell, T.M.1
  • 9
    • 0004322632 scopus 로고    scopus 로고
    • Sequential minimal optimization: A fast algorithm for training support vector machines
    • Microsoft Research
    • Platt, J.C.: Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines. Technical Report MSR-TR-98-14, Microsoft Research (1998)
    • (1998) Technical Report , vol.MSR-TR-98-14
    • Platt, J.C.1
  • 10
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • Schölkopf, B., Burges, J.C., Smola, J. (eds.). MIT Press, Cambridge
    • Platt, J.: Fast Training of Support Vector Machines Using Sequential Minimal Optimization. In: Schölkopf, B., Burges, J.C., Smola, J. (eds.): Advances in Kernel Methods - Support Vector Learning. MIT Press, Cambridge (1999) 185-208
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 185-208
    • Platt, J.1
  • 14
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical learning theory
    • Vapnik, V.N.: An Overview of Statistical Learning Theory, Vol.10, No.5. In: IEEE Trans. Neural Networks (1998) 988-999
    • (1998) IEEE Trans. Neural Networks , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.