-
2
-
-
36448962045
-
Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
-
Belkin M, Niyogi P, Sindhwani V (2006) Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. J Mach Learn Res 1:1-48
-
(2006)
J Mach Learn Res
, vol.1
, pp. 1-48
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
3
-
-
0242540474
-
MARK: A boosting algorithm for heterogeneous kernel models
-
Bennett KP, Momma M, Embrechts MJ (2002) MARK: a boosting algorithm for heterogeneous kernel models. In: SIGKDD, pp 24-31
-
(2002)
SIGKDD
, pp. 24-31
-
-
Bennett, K.P.1
Momma, M.2
Embrechts, M.J.3
-
4
-
-
12244300139
-
Column-generation boosting methods for mixture of kernels
-
Bi J, Zhang T, Bennett K (2004) Column-generation boosting methods for mixture of kernels. In: KDD, pp 521-526
-
(2004)
KDD
, pp. 521-526
-
-
Bi, J.1
Zhang, T.2
Bennett, K.3
-
6
-
-
0036161011
-
Choosingmultiple parameters for support vector machines
-
Chapelle O, Vapnik V, Bousquet O, Mukherjee S (2002) Choosingmultiple parameters for support vector machines. Mach Learn 46(1-3):131-159
-
(2002)
Mach Learn
, vol.46
, Issue.1-3
, pp. 131-159
-
-
Chapelle, O.1
Vapnik, V.2
Bousquet, O.3
Mukherjee, S.4
-
7
-
-
0040675320
-
On different facets of regularization theory
-
Chen Z, Haykin S (2002) On different facets of regularization theory. Neural Comput 14(12):2791-2846
-
(2002)
Neural Comput
, vol.14
, Issue.12
, pp. 2791-2846
-
-
Chen, Z.1
Haykin, S.2
-
8
-
-
3442881906
-
Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization
-
Chen S, Hong X, Harris C (2004) Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization. IEEE Trans SystMan Cybern B 34(4):1708-1717
-
(2004)
IEEE Trans SystMan Cybern B
, vol.34
, Issue.4
, pp. 1708-1717
-
-
Chen, S.1
Hong, X.2
Harris, C.3
-
10
-
-
34547112821
-
Face recognition by regularized discriminant analysis
-
Dai D, Yuen P (2007) Face recognition by regularized discriminant analysis. IEEE Trans SystMan Cybern B 37(4):1080-1085
-
(2007)
IEEE Trans SystMan Cybern B
, vol.37
, Issue.4
, pp. 1080-1085
-
-
Dai, D.1
Yuen, P.2
-
13
-
-
62949110022
-
Object representation, sample size and data complexity
-
Basu M, Ho TK (eds), Springer, London
-
Duin R, Pekalska E (2006) Object representation, sample size and data complexity. In: Basu M, Ho TK (eds) Data complexity in pattern recognition. Springer, London, pp 25-47
-
(2006)
Data Complexity in Pattern Recognition
, pp. 25-47
-
-
Duin, R.1
Pekalska, E.2
-
15
-
-
33749404380
-
Two viewlearning: SVM-2K, theory and practice
-
Farquhar J,Hardoon D, Meng H, Shawe-Taylor J, Szedmak S (2005) Two viewlearning: SVM-2K, theory and practice. In: NIPS
-
(2005)
NIPS
-
-
Farquhar Jhardoon, D.1
Meng, H.2
Shawe-Taylor, J.3
Szedmak, S.4
-
17
-
-
0037272132
-
Regularization parameter estimation for feedforward neural networks
-
Guo P, Lyu M, Chen C (2003) Regularization parameter estimation for feedforward neural networks. IEEE Trans Syst Man Cybern B 33(1):35-44
-
(2003)
IEEE Trans Syst Man Cybern B
, vol.33
, Issue.1
, pp. 35-44
-
-
Guo, P.1
Lyu, M.2
Chen, C.3
-
18
-
-
10044285992
-
Canonical correlation analysis: An overview with application to learning methods
-
Hardoon D, Szedmak S, Shawe-Taylor J (2004) Canonical correlation analysis: an overview with application to learning methods. Neural Comput 16:2639-2664
-
(2004)
Neural Comput
, vol.16
, pp. 2639-2664
-
-
Hardoon, D.1
Szedmak, S.2
Shawe-Taylor, J.3
-
20
-
-
8844263749
-
A statistical framework for genomic data fusion
-
Lanckriet GRG, Bie TD, Cristianini N, JordanMI, NobleWS (2004) A statistical framework for genomic data fusion. Bioinformatics 20(16):2626-2635
-
(2004)
Bioinformatics
, vol.20
, Issue.16
, pp. 2626-2635
-
-
Grg, L.1
Bie, T.D.2
Cristianini, N.3
Noblews, J.4
-
21
-
-
8844278523
-
Learning the kernel matrix with semidefinite programming
-
Lanckriet GRG, Cristianini N, Bartlett P, Ghaoui LE, Jordan MI (2004) Learning the kernel matrix with semidefinite programming. J Mach Learn Res 5:27-72
-
(2004)
J Mach Learn Res
, vol.5
, pp. 27-72
-
-
Lanckriet, G.R.G.1
Cristianini, N.2
Bartlett, P.3
Ghaoui, L.E.4
Jordan, M.I.5
-
22
-
-
40649086418
-
Incorporating prior knowledge in support vector machines for classification: A review
-
Lauer F, Bloch G (2007) Incorporating prior knowledge in support vector machines for classification: a review. Neurocomputing 71:1578-1594
-
(2007)
Neurocomputing
, vol.71
, pp. 1578-1594
-
-
Lauer, F.1
Bloch, G.2
-
23
-
-
33144458972
-
Efficient and robust feature extraction bymaximun margin criterion
-
Li H, Jiang T, Zhang K (2006) Efficient and robust feature extraction bymaximun margin criterion. IEEE Trans Neural Netw 17(1):157-165
-
(2006)
IEEE Trans Neural Netw
, vol.17
, Issue.1
, pp. 157-165
-
-
Li, H.1
Jiang, T.2
Zhang, K.3
-
32
-
-
0025056697
-
Regularization algorithms for learning that are equivalent to multilayer networks
-
Poggio T, Girosi F (1990) Regularization algorithms for learning that are equivalent to multilayer networks. Science 247:978-982
-
(1990)
Science
, vol.247
, pp. 978-982
-
-
Poggio, T.1
Girosi, F.2
-
33
-
-
0242705996
-
The mathematics of learning: Dealing with data
-
Poggio T, Smale S (2003) The mathematics of learning: dealing with data. Notices AMS 50(5):537-544
-
(2003)
Notices AMS
, vol.50
, Issue.5
, pp. 537-544
-
-
Poggio, T.1
Smale, S.2
-
35
-
-
0032594954
-
Input space versus feature space in kernel-based methods
-
Scholkopf B, Mika S, Burges CJC, Knirsch P,Muller K-R, Ratsch G, Smola AJ (1999) Input space versus feature space in kernel-based methods. IEEE Trans Neural Netw 10(5):1000-1017
-
(1999)
IEEE Trans Neural Netw
, vol.10
, Issue.5
, pp. 1000-1017
-
-
Scholkopf, B.1
Mika, S.2
Burges, C.J.C.3
Knirsch, P.4
Muller, K.-R.5
Ratsch, G.6
Smola, A.J.7
-
39
-
-
0000043665
-
On solving incorrectly posed problems and method of regularization
-
Tikhonov A (1963) On solving incorrectly posed problems and method of regularization. Doklady Akademii Nauk USSR 151:501-504
-
(1963)
Doklady Akademii Nauk USSR
, vol.151
, pp. 501-504
-
-
Tikhonov, A.1
-
45
-
-
15344339935
-
Optimizing the kernel in the empirical feature space
-
Xiong H, Swamy MNS, Ahmad MO (2005) Optimizing the kernel in the empirical feature space. IEEE Trans Neural Netw 16(2):460-474
-
(2005)
IEEE Trans Neural Netw
, vol.16
, Issue.2
, pp. 460-474
-
-
Xiong, H.1
Mns, S.2
Ahmad, M.O.3
-
47
-
-
51649109792
-
Discriminatively regularized least-squares classification
-
Xue H, Chen S, Yang Q (2009) Discriminatively regularized least-squares classification. Pattern Recognit 42:93-104
-
(2009)
Pattern Recognit
, vol.42
, pp. 93-104
-
-
Xue, H.1
Chen, S.2
Yang, Q.3
-
49
-
-
24944501407
-
Feature-correlation based multi-view detection
-
LNCS 3483
-
Zhang K, Tang J, Li J, Wang K (2005) Feature-correlation based multi-view detection. In: ICCSA 2005, LNCS 3483, pp 1222-1230
-
(2005)
ICCSA 2005
, pp. 1222-1230
-
-
Zhang, K.1
Tang, J.2
Li, J.3
Wang, K.4
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