-
1
-
-
48549093619
-
Alternating proximal algorithms for weakly coupled convex minimization problems. Applications to dynamical games and PDE's
-
H. Attouch, J. Bolte, P. Redont and A. Soubeyran. Alternating proximal algorithms for weakly coupled convex minimization problems. Applications to dynamical games and PDE's. Journal of Convex Analysis 15 (3), 485-506. 2008.
-
(2008)
Journal of Convex Analysis
, vol.15
, Issue.3
, pp. 485-506
-
-
Attouch, H.1
Bolte, J.2
Redont, P.3
Soubeyran, A.4
-
3
-
-
84904136037
-
Large-scale machine learning with stochastic gradient descent
-
L. Bottou. Large-Scale Machine Learning with Stochastic Gradient Descent. COMPSTAT, 2010.
-
(2010)
COMPSTAT
-
-
Bottou, L.1
-
4
-
-
0002709342
-
Feature Selection via concave minimization and support vector machines
-
P. S. Bradley and O. L. Mangasarian. Feature Selection via concave minimization and support vector machines. ICML, 1998.
-
(1998)
ICML
-
-
Bradley, P.S.1
Mangasarian, O.L.2
-
5
-
-
84874097950
-
-
Brown Corpus
-
Brown Corpus. Available at http://nltk.googlecode.com/svn/trunk/nltk- data/index.xml
-
-
-
-
9
-
-
69549111057
-
Cutting-plane training of structural SVMs
-
T. Joachims, T. Finley and C-N. J. Yu. Cutting-Plane training of Structural SVMs. Machine Learning, 77(1):27-59, 2009.
-
(2009)
Machine Learning
, vol.77
, Issue.1
, pp. 27-59
-
-
Joachims, T.1
Finley, T.2
Yu, C.-N.J.3
-
12
-
-
67049169189
-
Comparisons of sequence-labeling algorithms and extensions
-
N. Nguyen and Y. Guo. Comparisons of Sequence-labeling Algorithms and Extensions. ICML, 2007.
-
(2007)
ICML
-
-
Nguyen, N.1
Guo, Y.2
-
14
-
-
85109864082
-
Introduction to the CoNLL-2000 shared task: Chunking
-
E. F. T. K. Sang and S. Buchholz. Introduction to the CoNLL-2000 shared task: Chunking. CoNLL, 2000.
-
(2000)
CoNLL
-
-
Sang, E.F.T.K.1
Buchholz, S.2
-
16
-
-
24944537843
-
Large margin methods for structured and inter-dependent output variables
-
I. Tsochantaridis, T. Joachims, T. Hoffmann and Y. Altun. Large Margin Methods for Structured and Inter-dependent Output Variables. JMLR, 6:1453:1484, 2005.
-
(2005)
JMLR
, vol.6
, pp. 1453-1484
-
-
Tsochantaridis, I.1
Joachims, T.2
Hoffmann, T.3
Altun, Y.4
-
18
-
-
33746154240
-
The doubly regularized support vector machine
-
L. Wang, J. Zhu, and H. Zou. The Doubly Regularized Support Vector Machine. Statistica Sinica, 16(2), 589-616, 2006.
-
(2006)
Statistica Sinica
, vol.16
, Issue.2
, pp. 589-616
-
-
Wang, L.1
Zhu, J.2
Zou, H.3
-
20
-
-
84865105547
-
Large-margin structured prediction via linear programming
-
Z. Wang and J. Shawe-Taylor. Large-Margin Structured Prediction via Linear Programming. AISTATS, 2009.
-
(2009)
AISTATS
-
-
Wang, Z.1
Shawe-Taylor, J.2
-
21
-
-
78651547900
-
Analysis and generalizations of the linearized bregman method
-
W. Yin. Analysis and Generalizations of the Linearized Bregman Method. SIAM Journal of Imaging Sciences, Vol. 3, No. 4, pp. 856-877. 2010.
-
(2010)
SIAM Journal of Imaging Sciences
, vol.3
, Issue.4
, pp. 856-877
-
-
Yin, W.1
-
22
-
-
70350630580
-
Primal sparse max-margin markov networks
-
J. Zhu, E. P. Xing and B. Zhang. Primal Sparse Max-Margin Markov Networks. SIGKDD, 2009.
-
(2009)
SIGKDD
-
-
Zhu, J.1
Xing, E.P.2
Zhang, B.3
-
23
-
-
16244401458
-
Regularization and variable selection via the elastic net
-
H. Zou and T. Hastie. Regularization and variable selection via the elastic net. J. Roy. Statist. Soc. Ser. B 67, 301-320, 2005.
-
(2005)
J. Roy. Statist. Soc. Ser. B
, vol.67
, pp. 301-320
-
-
Zou, H.1
Hastie, T.2
|