SCOPUS 정보 검색 플랫폼

Neural Processing Letters

Volumn 33, Issue 3, 2011, Pages 301-315

Optimal locality regularized least squares support vector machine via alternating optimization

(3) Chen, Xiaobo a,b Yang, Jian a Liang, Jun b

a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY (China)

b JIANGSU UNIVERSITY (China)

Author keywords

Least squares classifier; Locality preserving criterion; Structural risk minimization; Support vector machine

Indexed keywords

BENCHMARK DATA; DATA SAMPLE; ITERATIVE LEAST SQUARES; LEAST SQUARES CLASSIFIER; LEAST SQUARES SUPPORT VECTOR MACHINES; LOCAL STRUCTURE; LOCALITY PRESERVING CRITERION; MANIFOLD LEARNING; OPTIMIZATION METHOD; OPTIMIZATION PROBLEMS; REGULARIZED LEAST SQUARES; SIMULTANEOUS OPTIMIZATION; STRUCTURAL RISK MINIMIZATION; UNIFIED FRAMEWORK;

SUPPORT VECTOR MACHINES; VECTORS;

SHAPE OPTIMIZATION;

EID: 79956100012 PISSN: 13704621 EISSN: 1573773X Source Type: Journal
DOI: 10.1007/s11063-011-9179-8 Document Type: Article

Times cited : (13)

References (24)

1
- 0003450542
- Springer-Verlag New York 0833.62008
- Vapnik VN (1995) The nature of statistical theory. Springer-Verlag, New York
- (1995) The Nature of Statistical Theory
- Vapnik, V.N.¹

2
- 27144489164
- A tutorial on support vector machines for pattern recognition
- DOI 10.1023/A:1009715923555
- CJC Burges 1998 A tutorial on support vector machines for pattern recognition Data Min Knowl Discov 2 2 121 167 10.1023/A:1009715923555 (Pubitemid 128126769)
- (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-168
- Burges, C.J.C.¹

3
- 14644392676
- Cambridge University Press Cambridge
- Shawe-Taylor J, Cristianini N (2004) Kernel methods for pattern analysis. Cambridge University Press, Cambridge
- (2004) Kernel Methods for Pattern Analysis
- Shawe-Taylor, J.¹ Cristianini, N.²

4
- 0003120218
- Fast training of support vector machines using sequential minimal optimization
- B. Schölkopf C.J.C. Burges A.J. Smola (eds). MIT Press Cambridge, MA
- Platt JC (1999) Fast training of support vector machines using sequential minimal optimization. In: Schölkopf B, Burges CJC, Smola AJ (eds) Advances in Kernel Methods: support vector learning. MIT Press, Cambridge, MA, pp 185-208
- (1999) Advances in Kernel Methods: Support Vector Learning , pp. 185-208
- Platt, J.C.¹

5
- 0002714543
- Making large-scale support vector machine learning practical
- B. Schölkopf C.J.C. Burges A.J. Smola (eds). MIT Press Cambridge, MA
- Joachims T (1999) Making large-scale support vector machine learning practical. In: Schölkopf B, Burges CJC, Smola AJ (eds) Advances in Kernel Methods: support vector learning. MIT Press, Cambridge, MA, pp 169-184
- (1999) Advances in Kernel Methods: Support Vector Learning , pp. 169-184
- Joachims, T.¹

6
- 0003710380
- Software available at
- Chang CC, Lin CJ (2001) LIBSVM: a library for support vector machines. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm
- (2001) LIBSVM: A Library for Support Vector Machines
- Chang, C.C.¹ Lin, C.J.²

7
- 0032638628
- Least squares support vector machine classifiers
- 1721843 10.1023/A:1018628609742
- JAK Suykens J Vandewalle 1999 Least squares support vector machine classifiers Neural Process Lett 9 3 293 300 1721843 10.1023/A:1018628609742
- (1999) Neural Process Lett , vol.9 , Issue.3 , pp. 293-300
- Suykens, J.A.K.¹ Vandewalle, J.²

8
- 33748862421
- Rule-based learning systems for support vector machines
- DOI 10.1007/s11063-006-9007-8
- H Núñez C Angulo A Català 2006 Rule based learning systems for support vector machines Neural Process Lett 24 1 1 18 10.1007/s11063-006-9007-8 (Pubitemid 44421303)
- (2006) Neural Processing Letters , vol.24 , Issue.1 , pp. 1-18
- Nunez, H.¹ Angulo, C.² Catala, A.³

9
- 34547446205
- Structured large margin machines: Sensitive to data distributions
- DOI 10.1007/s10994-007-5015-9
- DS Yeung D Wang WWY Ng ECC Tsang X Zhao 2007 Structured large margin machines: sensitive to data distributions Mach Learn 68 171 200 10.1007/s10994-007-5015-9 (Pubitemid 47165758)
- (2007) Machine Learning , vol.68 , Issue.2 , pp. 171-200
- Yeung, D.S.¹ Wang, D.² Ng, W.W.Y.³ Tsang, E.C.C.⁴ Wang, X.⁵

10
- 59149086652
- 2008 ISNN 2008. LNCS
- Xue H, Chen S, Yang Q (2008) Structural support vector machine, advances in neural networks - ISNN 2008. LNCS 5263:501-511
- Structural Support Vector Machine, Advances in Neural Networks , vol.5263 , pp. 501-511
- Xue, H.¹ Chen, S.² Yang, Q.³

11
- 45849086667
- Vancouver, British Columbia, Canada
- Belkin M, Niyogi P (2001) Laplacian Eigenmaps and spectral techniques for embedding and clustering, advances in neural information processing systems 15, Vancouver, British Columbia, Canada
- (2001) Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering, Advances in Neural Information Processing Systems 15
- Belkin, M.¹ Niyogi, P.²

12
- 24644513146
- Vancouver, Canada
- He X, Niyogi P (2003) Locality preserving projections, advance in neural information processing systems 16, Vancouver, Canada
- (2003) Locality preserving projections, advance in neural information processing systems 16
- He, X.¹ Niyogi, P.²

13
- 77049116966
- Graph-optimized locality preserving projections
- 1191.68611 10.1016/j.patcog.2009.12.022
- LM Zhang LS Qiao SC Chen 2010 Graph-optimized locality preserving projections Pattern Recognit 43 6 1993 2002 1191.68611 10.1016/j.patcog.2009.12. 022
- (2010) Pattern Recognit , vol.43 , Issue.6 , pp. 1993-2002
- Zhang, L.M.¹ Qiao, L.S.² Chen, S.C.³

14
- 33750729556
- Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
- M Belkin P Niyogi V Sindhwani 2006 Manifold regularization: a geometric framework for learning from labeled and unlabeled examples J Mach Learn Res 7 2399 2434 2274444 (Pubitemid 44708005)
- (2006) Journal of Machine Learning Research , vol.7 , pp. 2399-2434
- Belkin, M.¹ Niyogi, P.² Sindhwani, V.³

15
- 79956148266
- Chung FRK (1997) Spectral graph theory, regional conference series in mathematics, number 92
- (1997) Spectral Graph Theory, Regional Conference Series in Mathematics , vol.92
- Frk, C.¹

16
- 0003664883
- Wiley New York 0354.65028
- Tikhonov AN, Arsen VY (1977) Solutions of ill-posed problems. Wiley, New York
- (1977) Solutions of Ill-posed Problems
- Tikhonov, A.N.¹ Arsen, V.Y.²

17
- 0003775298
- SIAM Philadelphia
- Mangasarian OL (1998) Nonlinear programming. SIAM, Philadelphia
- (1998) Nonlinear Programming
- Mangasarian, O.L.¹

18
- 40649092045
- Low rank updated LS-SVM classifiers for fast variable selection
- DOI 10.1016/j.neunet.2007.12.053, PII S0893608008000038
- F Ojeda JAK Suykens BD Moor 2008 Low rank updated LS-SVM classifiers for fast variable selection Neural Netw 21 2-3 437 449 10.1016/j.neunet.2007.12.053 (Pubitemid 351375368)
- (2008) Neural Networks , vol.21 , Issue.2-3 , pp. 437-449
- Ojeda, F.¹ Suykens, J.A.K.² De Moor, B.³

19
- 0004226864
- 2 McGraw-Hill Book Company New York 0148.02903
- Rudin W (1964) Principles of mathematical analysis. 2. McGraw-Hill Book Company, New York
- (1964) Principles of Mathematical Analysis
- Rudin, W.¹

20
- 0004236492
- 3 The Johns Hopkins University Press Baltimore 0865.65009
- Golub GH, Van Loan CF (1996) Matrix computations. 3. The Johns Hopkins University Press, Baltimore
- (1996) Matrix Computations
- Golub, G.H.¹ Van Loan, C.F.²

21
- 0003408496
- University of California, Irvine. Available at
- Muphy PM, Aha DW (1992) UCI repository of machine learning databases. University of California, Irvine. Available at http://www.ics.uci.edu/~mlearn
- (1992) UCI Repository of Machine Learning Databases
- Muphy, P.M.¹ Aha, D.W.²

22
- 77957596220
- MOSEK ApS Version 5.0. Software available at
- MOSEK ApS (2008) The MOSEK optimization tools manual. Version 5.0. Software available at http://www.mosek.com
- (2008) The MOSEK Optimization Tools Manual

23
- 0003612091
- Available:
- Michie D, Spiegelhalter DJ, Taylor CC (1994) Machine learning, neural and statistical classification. Available: ftp.ncc.up.pt/pub/statlog/
- (1994) Machine Learning, Neural and Statistical Classification
- Michie, D.¹ Spiegelhalter, D.J.² Taylor, C.C.³

24
- 49049111209
- Semi-supervised discriminant analysis
- Cai D, He X, Han J (2007) Semi-supervised discriminant analysis. In: Proceedings of the International conference on computer vision
- (2007) Proceedings of the International Conference on Computer Vision
- Cai, D.¹ He, X.² Han, J.³

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.