-
1
-
-
31844451223
-
Regularization and semi-supervised learning on large graphs
-
M. Belkin and I. M. andd P. Niyogi. Regularization and semi-supervised learning on large graphs. In COLT, 2004.
-
(2004)
COLT
-
-
Belkin, M.1
M., I.2
Niyogi, P.3
-
2
-
-
3142725535
-
Semi-supervised learning on riemannian manifolds
-
M. Belkin and P. Niyogi. Semi-supervised learning on riemannian manifolds. Machine Learning, 2004.
-
(2004)
Machine Learning
-
-
Belkin, M.1
Niyogi, P.2
-
3
-
-
33751191408
-
A unified machine learning framework for large-scale personalized information management
-
NTU Taipei
-
E. Chang, S. C. Hoi, X. Wang, W.-Y. Ma, and M. Lyu. A unified machine learning framework for large-scale personalized information management. In The 5th Emerging Information Technology Conference, NTU Taipei, 2005.
-
(2005)
The 5th Emerging Information Technology Conference
-
-
Chang, E.1
Hoi, S.C.2
Wang, X.3
Ma, W.-Y.4
Lyu, M.5
-
7
-
-
85153947869
-
Active learning with statistical models
-
D. A. Cohn, Z. Ghahramani, and M. I. Jordan. Active learning with statistical models. In NIPS, volume 7, pages 705-712, 1995.
-
(1995)
NIPS
, vol.7
, pp. 705-712
-
-
Cohn, D.A.1
Ghahramani, Z.2
Jordan, M.I.3
-
9
-
-
0037031027
-
Query by committee, linear separation and random walks
-
S. Fine, R. Gilad-Bachrach, and E. Shamir. Query by committee, linear separation and random walks. Theor. Comput. Sci., 284(1):25-51, 2002.
-
(2002)
Theor. Comput. Sci.
, vol.284
, Issue.1
, pp. 25-51
-
-
Fine, S.1
Gilad-Bachrach, R.2
Shamir, E.3
-
10
-
-
0031209604
-
Selective sampling using the query by committee algorithm
-
Y. Freund, H. S. Seung, E. Shamir, and N. Tishby. Selective sampling using the query by committee algorithm. Mach. Learn., 28(2-3):133-168, 1997.
-
(1997)
Mach. Learn.
, vol.28
, Issue.2-3
, pp. 133-168
-
-
Freund, Y.1
Seung, H.S.2
Shamir, E.3
Tishby, N.4
-
11
-
-
34250637963
-
Large-scale text categorization by batch mode active learning
-
Edinburg
-
S. C. Hoi, R. Jin, and M. R. Lyu. Large-scale text categorization by batch mode active learning. In WWW2006, Edinburg, 2006.
-
(2006)
WWW2006
-
-
Hoi, S.C.1
Jin, R.2
Lyu, M.R.3
-
14
-
-
8844278523
-
Learning the kernel matrix with semi-definite programming
-
G. Lanckriet, N. Cristianini, P. Bartlett, L. E. Ghaoui, and M. Jordan. Learning the kernel matrix with semi-definite programming. JMLR, 5:27-72, 2004.
-
(2004)
JMLR
, vol.5
, pp. 27-72
-
-
Lanckriet, G.1
Cristianini, N.2
Bartlett, P.3
Ghaoui, L.E.4
Jordan, M.5
-
19
-
-
0442319140
-
Toward optimal active learning through sampling estimation of error reduction
-
N. Roy and A. McCallum. Toward optimal active learning through sampling estimation of error reduction. In 18th ICML, pages 441-448, 2001.
-
(2001)
18th ICML
, pp. 441-448
-
-
Roy, N.1
McCallum, A.2
-
20
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
B. Scholkopf, A. Smola, and K.-R. Muller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10:1299-1319, 1998.
-
(1998)
Neural Computation
, vol.10
, pp. 1299-1319
-
-
Scholkopf, B.1
Smola, A.2
Muller, K.-R.3
-
23
-
-
0034792634
-
Support vector machine active learning for image retrieval
-
New York
-
S. Tong and E. Chang, Support vector machine active learning for image retrieval. In Proc ACM Multimedia Conference, pages 107-118, New York, 2001.
-
(2001)
Proc ACM Multimedia Conference
, pp. 107-118
-
-
Tong, S.1
Chang, E.2
-
24
-
-
0003007938
-
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. In Proc. 17th ICML, pages 999-1006, 2000.
-
(2000)
Proc. 17th ICML
, pp. 999-1006
-
-
Tong, S.1
Koller, D.2
-
27
-
-
84864072823
-
Analysis, of spectral kernel design based semi-supervised learning
-
T. Zhang and R. K. Ando. Analysis, of spectral kernel design based semi-supervised learning. In NIPS, 2005.
-
(2005)
NIPS
-
-
Zhang, T.1
Ando, R.K.2
-
28
-
-
84899006908
-
Learning with local and global. consistency
-
D. Zhou, O. Bousquet, T. Lal, J. Weston, and B. Schlkopf. Learning with local and global. consistency. In NIPS'16, 2005.
-
(2005)
NIPS'16
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.3
Weston, J.4
Schlkopf, B.5
-
29
-
-
0347585601
-
Kernel logistic regression and the import vector machine
-
J. Zhu and T. Hastie. Kernel logistic regression and the import vector machine. In NIPS 14, pages 1081-1088, 2001.
-
(2001)
NIPS
, vol.14
, pp. 1081-1088
-
-
Zhu, J.1
Hastie, T.2
-
30
-
-
33745456231
-
Semi-supervised learning literature survey
-
Computer Sciences TR 1530, University of Wisconsin - Madison
-
X. Zhu. Semi-supervised learning literature survey Technical report, Computer Sciences TR 1530, University of Wisconsin - Madison, 2005.
-
(2005)
Technical Report
-
-
Zhu, X.1
-
31
-
-
1942484430
-
Semi-supervised learning using gaussian fields and harmonic functions
-
X. Zhu, Z. Ghahramani, and J. Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. In Proc. ICML'2003, 2003.
-
(2003)
Proc. ICML'2003
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.3
-
32
-
-
84899028404
-
Nonparametric transforms of graph kernels for semi-supervised learning
-
X. Zhu, J. Kandola, Z. Ghahramani, arid J. Lafferty. Nonparametric transforms of graph kernels for semi-supervised learning. In NIPS2005, 2005.
-
(2005)
NIPS2005
-
-
Zhu, X.1
Kandola, J.2
Ghahramani, Z.3
Lafferty, J.4
|