-
1
-
-
5844297152
-
Theory of reproducing kernels
-
N. Aronszajn, "Theory of reproducing kernels," Trans. Amer. Math. Soc., vol. 68, pp. 337-404, 1950.
-
(1950)
Trans. Amer. Math. Soc
, vol.68
, pp. 337-404
-
-
Aronszajn, N.1
-
2
-
-
33750729556
-
Manifold regularizaion: A geometric framework for learning from labeled and unlabeled examples
-
M. Belkin, P. Niyogi, and V. Sindhwani, "Manifold regularizaion: A geometric framework for learning from labeled and unlabeled examples," J. Mach. Learn. Res., vol. 7, pp. 2399-2434, 2006.
-
(2006)
J. Mach. Learn. Res
, vol.7
, pp. 2399-2434
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
3
-
-
3142725535
-
Semi-supervised learning on Riemannian manifolds
-
M. Belkin and P. Niyogi, "Semi-supervised learning on Riemannian manifolds," Mach. Learn., vol. 56, pp. 209-239, 2004.
-
(2004)
Mach. Learn
, vol.56
, pp. 209-239
-
-
Belkin, M.1
Niyogi, P.2
-
4
-
-
0029195475
-
On the exponential value of labeled samples
-
V. Castelli and T. M. Cover, "On the exponential value of labeled samples," Pattern Recognit. Lett., vol. 16, pp. 105-111, 1995.
-
(1995)
Pattern Recognit. Lett
, vol.16
, pp. 105-111
-
-
Castelli, V.1
Cover, T.M.2
-
5
-
-
0001662441
-
The relative values of labeled and unlabeled samples in pattern recognition with an unknown mixing parameters
-
Nov
-
V. Castelli and T. M. Cover, "The relative values of labeled and unlabeled samples in pattern recognition with an unknown mixing parameters," IEEE Trans. Inf. Theory, vol. 42, no. 6, pp. 2102-2117, Nov. 1996.
-
(1996)
IEEE Trans. Inf. Theory
, vol.42
, Issue.6
, pp. 2102-2117
-
-
Castelli, V.1
Cover, T.M.2
-
7
-
-
63149135414
-
Error bounds of semi-supervised multi-graph regularized classifiers
-
H. Chen and L. Q. Li, "Error bounds of semi-supervised multi-graph regularized classifiers," Inf. Sci., vol. 179, pp. 1960-1969, 2009.
-
(2009)
Inf. Sci
, vol.179
, pp. 1960-1969
-
-
Chen, H.1
Li, L.Q.2
-
8
-
-
33750711340
-
Consistency of multiclass empirical risk minimization methods based on convex loss
-
D. R. Chen and T. Sun, "Consistency of multiclass empirical risk minimization methods based on convex loss," J. Mach. Learn. Res., vol. 7, pp. 2435-2447, 2006.
-
(2006)
J. Mach. Learn. Res
, vol.7
, pp. 2435-2447
-
-
Chen, D.R.1
Sun, T.2
-
9
-
-
84879394399
-
Support vector machine soft margin classifiers: Error analysis
-
D. R. Chen, Q.Wu, Y. Ying, and D. X. Zhou, "Support vector machine soft margin classifiers: Error analysis," J. Mach. Learn. Res., vol. 5, pp. 1143-1175, 2004.
-
(2004)
J. Mach. Learn. Res
, vol.5
, pp. 1143-1175
-
-
Chen, D.R.1
Wu, Q.2
Ying, Y.3
Zhou, D.X.4
-
10
-
-
33645782058
-
The consistency of multicategory support vector machines
-
D. R. Chen and D. H. Xiang, "The consistency of multicategory support vector machines," Adv. Comput. Math., vol. 24, pp. 155-169, 2006.
-
(2006)
Adv. Comput. Math
, vol.24
, pp. 155-169
-
-
Chen, D.R.1
Xiang, D.H.2
-
11
-
-
0014710323
-
On optimum error and reject trade-off
-
Jan
-
C. K. Chow, "On optimum error and reject trade-off," IEEE Trans. Inf. Theory, vol. IT-16, no. 1, pp. 41-46, Jan. 1970.
-
(1970)
IEEE Trans. Inf. Theory
, vol.IT-16
, Issue.1
, pp. 41-46
-
-
Chow, C.K.1
-
12
-
-
0036071370
-
On the mathematical foundations of learning
-
F. Cucker and S. Smale, "On the mathematical foundations of learning," Bull. Amer. Math. Soc., vol. 39, pp. 1-49, 2002.
-
(2002)
Bull. Amer. Math. Soc
, vol.39
, pp. 1-49
-
-
Cucker, F.1
Smale, S.2
-
15
-
-
34547696887
-
On the effectiveness of Laplacian normalization for graph semi-supervised learning
-
R. Johnson and T. Zhang, "On the effectiveness of Laplacian normalization for graph semi-supervised learning," J. Mach. Learn. Res., vol. 8, pp. 1489-1517, 2007.
-
(2007)
J. Mach. Learn. Res
, vol.8
, pp. 1489-1517
-
-
Johnson, R.1
Zhang, T.2
-
16
-
-
38349114023
-
Graph-based semi-supervised learning and spectral kernel design
-
Jan
-
R. Johnson and T. Zhang, "Graph-based semi-supervised learning and spectral kernel design," IEEE Trans. Inf. Theory, vol. 54, no. 1, pp. 275-288, Jan. 2008.
-
(2008)
IEEE Trans. Inf. Theory
, vol.54
, Issue.1
, pp. 275-288
-
-
Johnson, R.1
Zhang, T.2
-
17
-
-
2142775432
-
Multicategory support vector machines, theory, and application to the classification of microarray data and satellite randiance data
-
Y. Lee, Y. Lin, and G. Wahba, "Multicategory support vector machines, theory, and application to the classification of microarray data and satellite randiance data," J. Amer. Statist. Assoc., vol. 99, pp. 67-81, 2004.
-
(2004)
J. Amer. Statist. Assoc
, vol.99
, pp. 67-81
-
-
Lee, Y.1
Lin, Y.2
Wahba, G.3
-
18
-
-
70350282973
-
On the relation between low density separation spectral clustering and graph cuts
-
B. Schölkopf, J. Platt, and T. Hoffman, Eds. Cambridge, MA:MIT Press
-
H. Narayanan, M. Belkin, and P. Niyogi, "On the relation between low density separation spectral clustering and graph cuts," in Advances in Neural Information Processing Systems 19, B. Schölkopf, J. Platt, and T. Hoffman, Eds. Cambridge, MA:MIT Press, 2006, pp. 1025-1032.
-
(2006)
Advances in Neural Information Processing Systems 19
, pp. 1025-1032
-
-
Narayanan, H.1
Belkin, M.2
Niyogi, P.3
-
19
-
-
56449117244
-
-
Comput. Sci. Dept, Univ. Chicago, Chicago, IL, Tech. Rep. TR-2008-01
-
P. Niyogi, "Manifold regularization and semi-supervised learning: Some theoretical analyses," Comput. Sci. Dept., Univ. Chicago, Chicago, IL, Tech. Rep. TR-2008-01, 2008.
-
(2008)
Manifold regularization and semi-supervised learning: Some theoretical analyses
-
-
Niyogi, P.1
-
20
-
-
0001030653
-
Measuring mass concentrations and estimating density contour clusters-an excess mass approach
-
W. Polonik, "Measuring mass concentrations and estimating density contour clusters-an excess mass approach," Ann. Statist., vol. 23, pp. 855-881, 1995.
-
(1995)
Ann. Statist
, vol.23
, pp. 855-881
-
-
Polonik, W.1
-
21
-
-
84947134568
-
Learning from a mixture of labeled and unlabeled examples with parametric side information
-
Santa Cruz, CA
-
J. Ratsaby and S. S. Venkatesh, "Learning from a mixture of labeled and unlabeled examples with parametric side information," in Proc. 8th Annu. Conf. Comput. Learn. Theory, Santa Cruz, CA, 1995, pp. 412-417.
-
(1995)
Proc. 8th Annu. Conf. Comput. Learn. Theory
, pp. 412-417
-
-
Ratsaby, J.1
Venkatesh, S.S.2
-
22
-
-
34547675831
-
Generalization error bounds in semi-supervised classification under the cluster assumption
-
P. Rigollet, "Generalization error bounds in semi-supervised classification under the cluster assumption," J. Mach. Learn. Res. vol. 8, pp. 1369-1392, 2007.
-
(2007)
J. Mach. Learn. Res
, vol.8
, pp. 1369-1392
-
-
Rigollet, P.1
-
23
-
-
85162044771
-
The value of labeled and unlabeled examples when the model is imperfect
-
J. C. Platt, D. Koller, Y. Singer, and S. Roweis, Eds. Cambridge, MA: MIT Press
-
K. Sinha and M. Belkin, "The value of labeled and unlabeled examples when the model is imperfect," in Advances in Neural Information Processing Systems 20, J. C. Platt, D. Koller, Y. Singer, and S. Roweis, Eds. Cambridge, MA: MIT Press, 2008, pp. 1361-1368.
-
(2008)
Advances in Neural Information Processing Systems 20
, pp. 1361-1368
-
-
Sinha, K.1
Belkin, M.2
-
24
-
-
34249062309
-
On the consistency of multiclass classification methods
-
A. Tewari and P. L. Bartlett, "On the consistency of multiclass classification methods," J. Mach. Learn. Res., vol. 8, pp. 1007-1025, 2007.
-
(2007)
J. Mach. Learn. Res
, vol.8
, pp. 1007-1025
-
-
Tewari, A.1
Bartlett, P.L.2
-
25
-
-
3142725508
-
Optimal aggregation of classifiers in statistical learning
-
A. B. Tsybakov, "Optimal aggregation of classifiers in statistical learning," Ann. Statist., vol. 32, pp. 135-166, 2004.
-
(2004)
Ann. Statist
, vol.32
, pp. 135-166
-
-
Tsybakov, A.B.1
-
27
-
-
0005004572
-
A probability analysis on the value of unlabeled data for classification problems
-
San Francisco, CA
-
T. Zhang and F. J. Oles, "A probability analysis on the value of unlabeled data for classification problems," in Proc. 17th Int. Conf. Mach. Learn., San Francisco, CA, 2000, pp. 1191-1198.
-
(2000)
Proc. 17th Int. Conf. Mach. Learn
, pp. 1191-1198
-
-
Zhang, T.1
Oles, F.J.2
-
28
-
-
26944483874
-
Statistical analysis of some multiclass large margin classification method
-
T. Zhang, "Statistical analysis of some multiclass large margin classification method," J. Mach. Learn. Res., vol. 5, pp. 1225-1251, 2004.
-
(2004)
J. Mach. Learn. Res
, vol.5
, pp. 1225-1251
-
-
Zhang, T.1
-
29
-
-
0036748375
-
The covering number in learning theory
-
D. X. Zhou, "The covering number in learning theory," J. Complex. vol. 18, pp. 739-767, 2002.
-
(2002)
J. Complex
, vol.18
, pp. 739-767
-
-
Zhou, D.X.1
-
30
-
-
0038105204
-
Capacity of reproducing kernel spaces in learning theory
-
Jul
-
D. X. Zhou, "Capacity of reproducing kernel spaces in learning theory," IEEE Trans. Inf. Theory, vol. 49, no. 7, pp. 1743-1752, Jul. 2003.
-
(2003)
IEEE Trans. Inf. Theory
, vol.49
, Issue.7
, pp. 1743-1752
-
-
Zhou, D.X.1
-
31
-
-
33745456231
-
-
Comput. Sci, Univ. Wisconsin-Madison, Madison, WI, Tech. Rep. 1530
-
X. Zhu, "Semi-supervised learning literature survey," Comput. Sci., Univ. Wisconsin-Madison, Madison, WI, Tech. Rep. 1530, 2005.
-
(2005)
Semi-supervised learning literature survey
-
-
Zhu, X.1
|