-
1
-
-
0004151496
-
-
Graduate texts in Mathematics. Springer
-
R. Bhatia. Matrix analysis. Graduate texts in Mathematics. Springer, 1997.
-
(1997)
Matrix Analysis
-
-
Bhatia, R.1
-
3
-
-
0032096712
-
Optimization problems with perturbation: A guided tour
-
J. F. Bonnans and A. Shapiro. Optimization problems with perturbation: A guided tour. SIAM Review, 40: 202-227, 1998.
-
(1998)
SIAM Review
, vol.40
, pp. 202-227
-
-
Bonnans, J.F.1
Shapiro, A.2
-
4
-
-
56449083666
-
Training SVM with indefinite kernels
-
J. Chen and J. Ye. Training SVM with Indefinite Kernels. ICML, 2008.
-
(2008)
ICML
-
-
Chen, J.1
Ye, J.2
-
11
-
-
0041775676
-
Diffusion kernels on graphs and other discrete input spaces
-
R. I. Kondor and J. Laffferty. Diffusion kernels on graphs and other discrete input spaces. ICML, 2002.
-
(2002)
ICML
-
-
Kondor, R.I.1
Laffferty, J.2
-
12
-
-
0040165092
-
Practical aspects of the moreau-yosida regularization: Theoretical preliminaries
-
C. Lemaréchal and C. Sagastizábal. Practical aspects of the Moreau-Yosida regularization: theoretical preliminaries. SIAM Journal on Optimization, 7: 367-385, 1997.
-
(1997)
SIAM Journal on Optimization
, vol.7
, pp. 367-385
-
-
Lemaréchal, C.1
Sagastizábal, C.2
-
13
-
-
8844278523
-
Learning the kernel matrix with semidefinite programming
-
G. R. G. Lanckriet, N. Cristianini, N., P. L. Bartlett, L. E. Ghaoui, and M. I. Jordan. Learning the kernel matrix with semidefinite programming. J. of Machine Learning Research, 5: 27-72, 2004.
-
(2004)
J. of Machine Learning Research
, vol.5
, pp. 27-72
-
-
Lanckriet, G.R.G.1
Cristianini, N.N.2
Bartlett, P.L.3
Ghaoui, L.E.4
Jordan, M.I.5
-
14
-
-
3843050541
-
A study on sigmoid kernels for SVM and the training of non-psd kernels by smo-type methods
-
H.-T. Lin and C. J. Lin. A study on sigmoid kernels for SVM and the training of non-psd kernels by smo-type methods. Technical Report, National Taiwan University, 2003.
-
(2003)
Technical Report, National Taiwan University
-
-
Lin, H.-T.1
Lin, C.J.2
-
15
-
-
64149091792
-
Support vector machine classification with indefinite kernels
-
R. Luss and A. d'Aspremont. Support vector machine classification with indefinite kernels. NIPS, 2007.
-
(2007)
NIPS
-
-
Luss, R.1
D'Aspremont, A.2
-
16
-
-
70049091215
-
Efficient methods in convex programming
-
A. Nemirovski. Efficient methods in convex programming. Lecture Notes, 1994.
-
(1994)
Lecture Notes
-
-
Nemirovski, A.1
-
18
-
-
17444406259
-
Smooth minimization of non-smooth functions
-
Y. Nesterov. Smooth minimization of non-smooth functions. Mathematical Programming, 103:127-152, 2005.
-
(2005)
Mathematical Programming
, vol.103
, pp. 127-152
-
-
Nesterov, Y.1
-
21
-
-
0041995203
-
A generalized kernel approach to dissimilarity-based classification
-
E. Pekalska, P. Paclik, and R. P. W. Duin. A generalized kernel approach to dissimilarity-based classification. J. of Machine Learning Research, 2: 175-211, 2002.
-
(2002)
J. of Machine Learning Research
, vol.2
, pp. 175-211
-
-
Pekalska, E.1
Paclik, P.2
Duin, R.P.W.3
-
22
-
-
0347380866
-
Optimal cluster preserving embedding of nonmetric proximity data
-
V. Roth, J. Laub, M. Kawanabe, and J. M. Buhmann. Optimal cluster preserving embedding of nonmetric proximity data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25:1540-1551, 2003.
-
(2003)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.25
, pp. 1540-1551
-
-
Roth, V.1
Laub, J.2
Kawanabe, M.3
Buhmann, J.M.4
-
23
-
-
4444273377
-
Protein homology detection using string alignment kernels
-
H. Saigo, J.P. Vert and N. Ueda, and T. Akutsu. Protein homology detection using string alignment kernels. Bioinformatics, 20: 1682-1689., 2004.
-
(2004)
Bioinformatics
, vol.20
, pp. 1682-1689
-
-
Saigo, H.1
Vert, J.P.2
Ueda, N.3
Akutsu, T.4
-
24
-
-
0004094721
-
-
The MIT Press
-
B. Schölkopf, and A.J. Smola. Learning with kernels: Support vector machines, regularization, optimization, and beyond. The MIT Press, 2001.
-
(2001)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
-
-
Schölkopf, B.1
Smola, A.J.2
-
26
-
-
33749237249
-
An analysis of transformation on non-positive semidefinite similarity matrix for kernel machines
-
G. Wu, Z. Zhang, and E. Y. Chang. An analysis of transformation on non-positive semidefinite similarity matrix for kernel machines. Technical Report, UCSB, 2005.
-
(2005)
Technical Report, UCSB
-
-
Wu, G.1
Zhang, Z.2
Chang, E.Y.3
|