-
4
-
-
25444522689
-
Fast kernel classifiers with online and active learning
-
A. Bordes, S. Ertekin, J. Weston, and L. Bottou. Fast kernel classifiers with online and active learning. JMLR, 6, 2005.
-
(2005)
JMLR
, vol.6
-
-
Bordes, A.1
Ertekin, S.2
Weston, J.3
Bottou, L.4
-
5
-
-
33745738567
-
Worst-case analysis of selective sampling for linear classification
-
N. Cesa-Bianchi, C. Gentile, and L. Zaniboni. Worst-case analysis of selective sampling for linear classification. JMLR, 7, 2006.
-
(2006)
JMLR
, vol.7
-
-
Cesa-Bianchi, N.1
Gentile, C.2
Zaniboni, L.3
-
6
-
-
34247849152
-
Training a support vector machine in the primal
-
O. Chapelle. Training a support vector machine in the primal. Neural Computation, 19(5), 2007.
-
(2007)
Neural Computation
, vol.19
, Issue.5
-
-
Chapelle, O.1
-
9
-
-
56449123291
-
A general agnostic active learning algorithm
-
S. Dasgupta, D. Hsu, and C. Monteleoni. A general agnostic active learning algorithm. In NIPS, 2007.
-
(2007)
NIPS
-
-
Dasgupta, S.1
Hsu, D.2
Monteleoni, C.3
-
11
-
-
84880867839
-
Maximum margin coresets for active and noise tolerant learning
-
S. Har-Peled, D. Roth, and D. Zimak. Maximum margin coresets for active and noise tolerant learning. In IJCAI, 2007.
-
(2007)
IJCAI
-
-
Har-Peled, S.1
Roth, D.2
Zimak, D.3
-
12
-
-
0022066873
-
A linearization algorithm for nonsmooth minimization
-
K. C. Kiwiel. A linearization algorithm for nonsmooth minimization. Mathematics of Operations Research, 10(2), 1985.
-
(1985)
Mathematics of Operations Research
, vol.10
, Issue.2
-
-
Kiwiel, K.C.1
-
13
-
-
35148813087
-
Practical online active learning for classification
-
C. Monteleoni and M. Kaariainen. Practical online active learning for classification. In CVPR, 2007.
-
(2007)
CVPR
-
-
Monteleoni, C.1
Kaariainen, M.2
-
14
-
-
0344089097
-
Empirical risk minimization for support vector classifiers
-
F. Perez-Cruz, A. Navia-Vazquez, A. R. Figueiras-Vidal, and A. Artes-Rodriguez. Empirical risk minimization for support vector classifiers. IEEE Transactions on Neural Networks, 14 (2), 2003.
-
(2003)
IEEE Transactions on Neural Networks
, vol.14
, Issue.2
-
-
Perez-Cruz, F.1
Navia-Vazquez, A.2
Figueiras-Vidal, A.R.3
Artes-Rodriguez, A.4
-
15
-
-
0007696417
-
Less is more: Active learning with support vector machines
-
G. Schohn and D. Cohn. Less is more: Active learning with support vector machines. In ICML, 2000.
-
(2000)
ICML
-
-
Schohn, G.1
Cohn, D.2
-
16
-
-
34547628187
-
Performance thresholding in practical text classification
-
H. Schütze, E. Velipasaoglu, and J. O. Pedersen. Performance thresholding in practical text classification. In CIKM, 2006.
-
(2006)
CIKM
-
-
Schütze, H.1
Velipasaoglu, E.2
Pedersen, J.O.3
-
17
-
-
48849117633
-
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, 2007.
-
(2007)
ICML
-
-
Shalev-Shwartz, S.1
Singer, Y.2
Srebro, N.3
-
18
-
-
0042868698
-
Support vector machine active learning with applications to text classification
-
S. Tong and D. Koller. Support vector machine active learning with applications to text classification. JMLR, 2, 2001.
-
(2001)
JMLR
, vol.2
-
-
Tong, S.1
Koller, D.2
-
19
-
-
21844440579
-
Core vector machines: Fast svm training on very large data sets
-
I. W. Tsang, J. T. Kwok, and P.-M. Cheung. Core vector machines: Fast svm training on very large data sets. JMLR, 6, 2005.
-
(2005)
JMLR
, vol.6
-
-
Tsang, I.W.1
Kwok, J.T.2
Cheung, P.-M.3
|