SCOPUS 정보 검색 플랫폼

Machine Learning

Volumn 46, Issue 1-3, 2002, Pages 351-360

Convergence of a generalized SMO algorithm for SVM classifier design

(2) Keerthi, S S a Gilbert, E G b

a NATIONAL UNIVERSITY OF SINGAPORE (Singapore)

b UNIVERSITY OF MICHIGAN (United States)

Author keywords

Convergence; SMO algorithm; Support vector machine

Indexed keywords

APPROXIMATION THEORY; ASYMPTOTIC STABILITY; BOUNDARY CONDITIONS; CONVERGENCE OF NUMERICAL METHODS; LAGRANGE MULTIPLIERS; LEARNING ALGORITHMS; PATTERN RECOGNITION; PROBLEM SOLVING; QUADRATIC PROGRAMMING; THEOREM PROVING;

OPTIMALITY CONDITIONS; SEQUENTIAL MINIMIZATION OPTIMIZATION; SUPPORT VECTOR MACHINES;

LEARNING SYSTEMS;

EID: 0036163654 PISSN: 08856125 EISSN: None Source Type: Journal
DOI: 10.1023/A:1012431217818 Document Type: Article

Times cited : (267)

References (9)

1
- 0008160177
- The analysis of decomposition methods for support vector machines
- (1999) Proceedings of the Workshop on Support Vector Machines, Sixteenth International Joint Conference on Artificial Intelligence (IJCAI 99)
- Chang, C.C.¹ Hsu, C.W.² Lin, C.J.³

2
- 0042496086
- A geometric interpretation of v-SVM classifiers
- (1999) Neural Information Processing Systems Conference, Denver, CO, USA
- Crisp, D.¹ Burges, C.²

3
- 0002714543
- Marking large-scale support vector machine learning practical
- In B. Schölkopf, C. Burges, & A. Smola; Cambridge, MA: MIT Press
- (1998) Advances in Kernel Methods: Support Vector Machines
- Joachims, T.¹

4
- 0004098720
- Improvements to Platt's SMO algorithm for SVM classifier design
- Technical Report CD-99-14, Control Division, Dept. of Mechanical and Production Engineering, National University of Singapore
- (1999)
- Keerthi, S.S.¹ Shevade, S.K.² Bhattacharyya, C.³ Murthy, K.R.K.⁴

5
- 0003984755
- On the convergence of the decomposition method for support vector machines
- Technical Report, Department of Computer Science and Information Engineering, National Taiwan University, Sept. 2000
- (2000)
- Lin, C.J.¹

6
- 0003120218
- Fast training of support vector machines using sequential minimal optimization
- In B. Schölkopf, C. Burges, & A. Smola (Eds.); Cambridge, MA: MIT Press
- (1998) Advances in Kernel Methods: Support Vector Machines
- Platt, J.C.¹

7
- 0038091288
- Estimating the support of a high-dimensional distribution
- Tr 99-87, Microsoft Research
- (1999)
- Schölkopf, B.¹ Platt, J.² Shawe-Taylor, J.³ Smola, A.J.⁴ Williamson, R.C.⁵

8
- 0003414688
- New support vector algorithms
- Neuro COLT Technical Report TR-1998-031, Royal Holloway College
- (1998)
- Schölkopf, B.¹ Smola, A.J.² Williamson, R.³ Bartlett, P.⁴

9
- 0004098722
- Improvements to the SMO algorithm for SVM regression
- Technical Report CD-99-16, Control Division, Dept. of Mechanical and Production Engineering, National University of Singapore
- (1999)
- Shevade, S.K.¹ Keerthi, S.S.² Bhattacharyya, C.³ Murthy, K.R.K.⁴

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.