-
1
-
-
48849085774
-
The tradeoffs of large scale learning
-
L. Bottou and O. Bousquet, "The tradeoffs of large scale learning," in NIPS'07, 2007, pp. 161-168.
-
(2007)
NIPS'07
, pp. 161-168
-
-
Bottou, L.1
Bousquet, O.2
-
2
-
-
56449110590
-
SVM optimization: Inverse dependence on training set size
-
S. Shalev-Shwartz and N. Srebro, "SVM optimization: Inverse dependence on training set size," in ICML'08, 2008, pp. 928-935.
-
(2008)
ICML'08
, pp. 928-935
-
-
Shalev-Shwartz, S.1
Srebro, N.2
-
3
-
-
70450197241
-
Robust stochastic approximation approach to stochastic programming
-
January
-
A. Nemirovski, A. Juditsky, G. Lan, and A. Shapiro, "Robust stochastic approximation approach to stochastic programming," SIAM Journal on Optimization, vol. 19, no. 4, pp. 1574-1609, January 2009.
-
(2009)
SIAM Journal on Optimization
, vol.19
, Issue.4
, pp. 1574-1609
-
-
Nemirovski, A.1
Juditsky, A.2
Lan, G.3
Shapiro, A.4
-
4
-
-
34547964973
-
Pegasos: Primal estimated sub-gradient solver for SVM
-
S. Shalev-Shwartz, Y. Singer, and N. Srebro, "Pegasos: Primal Estimated sub-GrAdient SOlver for SVM," in ICML'07, 2007, pp. 807-814.
-
(2007)
ICML'07
, pp. 807-814
-
-
Shalev-Shwartz, S.1
Singer, Y.2
Srebro, N.3
-
5
-
-
50949133940
-
Exponentiated gradient algorithms for conditional random fields and max-margin markov networks
-
Jun.
-
M. Collins, A. Globerson, T. Koo, X. Carreras, and P. L. Bartlett, "Exponentiated gradient algorithms for conditional random fields and max-margin markov networks," J. Mach. Learn. Res., vol. 9, pp. 1775-1822, Jun. 2008.
-
(2008)
J. Mach. Learn. Res.
, vol.9
, pp. 1775-1822
-
-
Collins, M.1
Globerson, A.2
Koo, T.3
Carreras, X.4
Bartlett, P.L.5
-
6
-
-
71149119963
-
Stochastic methods for l1 regularized loss minimization
-
New York, NY, USA: ACM
-
S. Shalev-Shwartz and A. Tewari, "Stochastic methods for l1 regularized loss minimization," in Proceedings of the 26th Annual International Conference on Machine Learning, ser. ICML'09. New York, NY, USA: ACM, 2009, pp. 929-936.
-
(2009)
Proceedings of the 26th Annual International Conference on Machine Learning, Ser. ICML'09
, pp. 929-936
-
-
Shalev-Shwartz, S.1
Tewari, A.2
-
7
-
-
0024883243
-
Optimal unsupervised learning in a single-layer linear feedforward neural network
-
T. D. Sanger, "Optimal unsupervised learning in a single-layer linear feedforward neural network," Neural Networks, vol. 12, pp. 459-473, 1989.
-
(1989)
Neural Networks
, vol.12
, pp. 459-473
-
-
Sanger, T.D.1
-
8
-
-
84864057685
-
Randomized PCA algorithms with regret bounds that are logarithmic in the dimension
-
M. K.Warmuth and D. Kuzmin, "Randomized PCA algorithms with regret bounds that are logarithmic in the dimension," in NIPS'06, 2006.
-
(2006)
NIPS'06
-
-
Warmuth, M.K.1
Kuzmin, D.2
-
9
-
-
0004533465
-
Single- and multiple-vector iterations
-
Bai, Zhaojun, Demmel, James, Dongarra, Jack, Ruhe, Axel, and van der Vorst, Henk, Eds. Philadelphia, PA: Society for Industrial and Applied Mathematics, ch. 4.3
-
M. Gu, "Single- and multiple-vector iterations," in Templates for the solution of algebraic eigenvalue problems: a practical guide, Bai, Zhaojun, Demmel, James, Dongarra, Jack, Ruhe, Axel, and van der Vorst, Henk, Eds. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2000, ch. 4.3.
-
(2000)
Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide
-
-
Gu, M.1
-
10
-
-
0141932900
-
Lanczos method
-
Bai, Zhaojun, Demmel, James, Dongarra, Jack, Ruhe, Axel, and van der Vorst, Henk, Eds. Philadelphia, PA: Society for Industrial and Applied Mathematics, ch. 4.4
-
A. Ruhe, "Lanczos method," in Templates for the solution of algebraic eigenvalue problems: a practical guide, Bai, Zhaojun, Demmel, James, Dongarra, Jack, Ruhe, Axel, and van der Vorst, Henk, Eds. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2000, ch. 4.4.
-
(2000)
Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide
-
-
Ruhe, A.1
-
11
-
-
84864304197
-
User-friendly tail bounds for sums of random matrices
-
Aug
-
J. A. Tropp, "User-friendly tail bounds for sums of random matrices," Foundations of Computational Math., Aug 2011.
-
(2011)
Foundations of Computational Math.
-
-
Tropp, J.A.1
-
12
-
-
0022013023
-
On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix
-
DOI 10.1016/0022-247X(85)90131-3
-
E. Oja and J. Karhunen, "On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix," Journal of Mathematical Analysis and Applications, vol. 106, pp. 69-84, 1985. (Pubitemid 15476174)
-
(1985)
Journal of Mathematical Analysis and Applications
, vol.106
, Issue.1
, pp. 69-84
-
-
Oja, E.1
Karhunen, J.2
-
13
-
-
25844445939
-
Iterative Kernel Principal Component Analysis for image modeling
-
DOI 10.1109/TPAMI.2005.181
-
K. I. Kim, M. O. Franz, and B. Schölkopf, "Iterative kernel principal component analysis for image modeling," IEEE Trans. PAMI, vol. 27, no. 9, pp. 1351-1366, 2005. (Pubitemid 41387769)
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, Issue.9
, pp. 1351-1366
-
-
Kim, K.I.1
Franz, M.O.2
Scholkopf, B.3
-
14
-
-
3242737336
-
Incremental singular value decomposition of uncertain data with missing values
-
M. Brand, "Incremental singular value decomposition of uncertain data with missing values," in ECCV, 2002.
-
(2002)
ECCV
-
-
Brand, M.1
-
15
-
-
0002316189
-
Rankone modification of the symmetric eigenproblem
-
J. R. Bunch, C. P. Nielsen, and D. C. Sorensen, "Rankone modification of the symmetric eigenproblem," Numerische Mathematik, vol. 31, no. 1, pp. 31-48, 1978.
-
(1978)
Numerische Mathematik
, vol.31
, Issue.1
, pp. 31-48
-
-
Bunch, J.R.1
Nielsen, C.P.2
Sorensen, D.C.3
-
17
-
-
70749101696
-
Incremental singular value decomposition algorithms for highly scalable recommender systems
-
B. Sarwar, G. Karypis, J. Konstan, and J. Riedl, "Incremental singular value decomposition algorithms for highly scalable recommender systems," in Fifth International Conference on Computer and Information Science, 2002.
-
(2002)
Fifth International Conference on Computer and Information Science
-
-
Sarwar, B.1
Karypis, G.2
Konstan, J.3
Riedl, J.4
-
18
-
-
84962385194
-
A fast on-line generalized eigendecomposition algorithm for time series segmentation
-
Y. N. Rao and J. C. Principe, "A fast on-line generalized eigendecomposition algorithm for time series segmentation," IEEE Transactions on Signal Processing, 2000.
-
(2000)
IEEE Transactions on Signal Processing
-
-
Rao, Y.N.1
Principe, J.C.2
-
19
-
-
0037403111
-
Mirror descent and nonlinear projected subgradient methods for convex optimization
-
A. Beck and M. Teboulle, "Mirror descent and nonlinear projected subgradient methods for convex optimization," Operations Research Letters, vol. 31, no. 3, pp. 167-175, 2003.
-
(2003)
Operations Research Letters
, vol.31
, Issue.3
, pp. 167-175
-
-
Beck, A.1
Teboulle, M.2
-
20
-
-
21844471282
-
Matrix exponentiated gradient updates for on-line learning and bregman projection
-
Dec.
-
K. Tsuda, G. Rätsch, and M. K. Warmuth, "Matrix exponentiated gradient updates for on-line learning and bregman projection," J. Mach. Learn. Res., pp. 995-1018, Dec. 2005.
-
(2005)
J. Mach. Learn. Res.
, pp. 995-1018
-
-
Tsuda, K.1
Rätsch, G.2
Warmuth, M.K.3
-
21
-
-
0022891742
-
Spectral transformations through canonical correlation analysis for speaker adptation in ASR
-
K. Choukri, G. Chollet, and Y. Grenier, "Spectral transformations through canonical correlation analysis for speaker adptation in ASR," in ICASSP, 1986.
-
(1986)
ICASSP
-
-
Choukri, K.1
Chollet, G.2
Grenier, Y.3
-
22
-
-
71149099083
-
Multi-view clustering via canonical correlation analysis
-
K. Chaudhuri, S. M. Kakade, K. Livescu, and K. Sridharan, "Multi-view clustering via canonical correlation analysis," in ICML'09, 2009.
-
(2009)
ICML'09
-
-
Chaudhuri, K.1
Kakade, S.M.2
Livescu, K.3
Sridharan, K.4
-
23
-
-
77949396889
-
Multi-view learning of acoustic features for speaker recognition
-
K. Livescu and M. Stoehr, "Multi-view learning of acoustic features for speaker recognition," in ASRU, 2009.
-
(2009)
ASRU
-
-
Livescu, K.1
Stoehr, M.2
-
24
-
-
84866095936
-
Adaptive kernel canonical correlation analysis for estimation of task dynamics from acoustics
-
F. Rudzicz, "Adaptive kernel canonical correlation analysis for estimation of task dynamics from acoustics," in ICASSP, 2010.
-
(2010)
ICASSP
-
-
Rudzicz, F.1
-
25
-
-
84870696087
-
Multiview acoustic feature learning using articulatory measurements
-
S. Bharadwaj, R. Arora, K. Livescu, and M. Hasegawa-Johnson, "Multiview acoustic feature learning using articulatory measurements," in Intl. Workshop on Stat. Machine Learning for Speech Recognition (IWSML), 2012.
-
Intl. Workshop on Stat. Machine Learning for Speech Recognition (IWSML)
, vol.2012
-
-
Bharadwaj, S.1
Arora, R.2
Livescu, K.3
Hasegawa-Johnson, M.4
-
27
-
-
78049347742
-
Learning bilingual lexicons from monolingual corpora
-
A. Haghighi, P. Liang, T. Berg-Kirkpatrick, and D. Klein, "Learning bilingual lexicons from monolingual corpora," in ACL, 2008.
-
(2008)
ACL
-
-
Haghighi, A.1
Liang, P.2
Berg-Kirkpatrick, T.3
Klein, D.4
-
28
-
-
10044285992
-
Canonical correlation analysis: An overview with application to learning methods
-
DOI 10.1162/0899766042321814
-
D. R. Hardoon, S. Szedmak, and J. Shawe-Taylor, "Canonical correlation analysis: An overview with application to learning methods," Neural Computation, vol. 16, no. 12, pp. 2639-2664, 2004. (Pubitemid 39604012)
-
(2004)
Neural Computation
, vol.16
, Issue.12
, pp. 2639-2664
-
-
Hardoon, D.R.1
Szedmak, S.2
Shawe-Taylor, J.3
-
29
-
-
51949086515
-
Correlational spectral clustering
-
M. B. Blaschko and C. H. Lampert, "Correlational spectral clustering," in CVPR, 2008.
-
(2008)
CVPR
-
-
Blaschko, M.B.1
Lampert, C.H.2
-
30
-
-
0003652255
-
-
Waisman Center on Mental Retardation & Human Development, University of Wisconsin, Madison, WI, USA, June
-
J. R. Westbury, X-ray microbeam speech production database user's handbook, Waisman Center on Mental Retardation & Human Development, University of Wisconsin, Madison, WI, USA, June 1994.
-
(1994)
X-ray Microbeam Speech Production Database User's Handbook
-
-
Westbury, J.R.1
|