-
1
-
-
0003796630
-
-
Academic Press, New York
-
R. A. Adams. Sobolev Spaces. Academic Press, New York, 1975.
-
(1975)
Sobolev Spaces
-
-
Adams, R.A.1
-
2
-
-
57849155344
-
Semi-supervised learning with an explicit label-error model for misclassified data
-
M. Amini, and P. Gallinari. Semi-supervised learning with an explicit label-error model for misclassified data. In IJCAl 2003.
-
(2003)
IJCAl
-
-
Amini, M.1
Gallinari, P.2
-
3
-
-
0001445010
-
Solving a class of linearly constrained indefinite quadratic problems by D.C. algorithms
-
L. An and P. Tao. Solving a class of linearly constrained indefinite quadratic problems by D.C. algorithms. J. of Global Optimization, 11:253-285, 1997.
-
(1997)
J. of Global Optimization
, vol.11
, pp. 253-285
-
-
An, L.1
Tao, P.2
-
4
-
-
21844438399
-
A framework for learning predictive structures from multiple tasks and unlabeled data
-
Technical Report RC23462, IBM T.J. Watson Research Center
-
R. Ando and T. Zhang. A framework for learning predictive structures from multiple tasks and unlabeled data. Technical Report RC23462, IBM T.J. Watson Research Center, 2004.
-
(2004)
-
-
Ando, R.1
Zhang, T.2
-
5
-
-
33749618781
-
Person identification in webcam images: An application of semi-supervised learning
-
M. Balcan, A. Blum, P. Choi, J. Lafferty, B. Pantano, M. Rwebangira and X. Zhu. Person identification in webcam images: an application of semi-supervised learning. In ICML 2005.
-
(2005)
ICML
-
-
Balcan, M.1
Blum, A.2
Choi, P.3
Lafferty, J.4
Pantano, B.5
Rwebangira, M.6
Zhu, X.7
-
6
-
-
33645505792
-
Convexity, classification, and risk bounds
-
P. L. Bartlett, M. I. Jordan and J. D. McAuliffe. Convexity, classification, and risk bounds. J. Amer. Statist. Assoc., 19:138-156, 2006.
-
(2006)
J. Amer. Statist. Assoc
, vol.19
, pp. 138-156
-
-
Bartlett, P.L.1
Jordan, M.I.2
McAuliffe, J.D.3
-
7
-
-
31844446899
-
Manifold Regularization: A Geometric Framework for Learning From Examples
-
Technical Report, Univ. of Chicago, Department of Computer Science, TR-2004-06
-
M. Belkin, P. Niyogi and V. Sindhwani. Manifold Regularization: A Geometric Framework for Learning From Examples. Technical Report, Univ. of Chicago, Department of Computer Science, TR-2004-06, 2004.
-
(2004)
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
8
-
-
0003408496
-
-
University of California, Irvine, Department of Information and Computer Science
-
C. L. Blake and C. J. Merz. UCI repository of machine learning databases [http://www.ics.ci.edu/~mlearn/MLRepository.html]. University of California, Irvine, Department of Information and Computer Science, 1998.
-
(1998)
UCI repository of machine learning databases
-
-
Blake, C.L.1
Merz, C.J.2
-
11
-
-
34249753618
-
Support vector networks
-
C. Cortes and V. Vapnik. Support vector networks. Machine Learning, 20:273-297, 1995.
-
(1995)
Machine Learning
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
12
-
-
35548937746
-
Semi-supervised learning of mixture models and Bayesian networks
-
F. G. Cozman, I. Cohen and M. C. Cirelo. Semi-supervised learning of mixture models and Bayesian networks. In ICML 2003.
-
(2003)
ICML
-
-
Cozman, F.G.1
Cohen, I.2
Cirelo, M.C.3
-
13
-
-
4944239996
-
The estimation of prediction error: Covariance penalties and cross-validation
-
B. Efron. The estimation of prediction error: Covariance penalties and cross-validation. J. Amer. Statist. Assoc., 99:619-632, 2004.
-
(2004)
J. Amer. Statist. Assoc
, vol.99
, pp. 619-632
-
-
Efron, B.1
-
15
-
-
84925605946
-
The entire regularization path for the support vector machine
-
T. Hastie, S. Rosset, R. Tibshirani and J. Zhu. The entire regularization path for the support vector machine. J. of Machine Learning Research, 5: 1391-1415, 2004.
-
(2004)
J. of Machine Learning Research
, vol.5
, pp. 1391-1415
-
-
Hastie, T.1
Rosset, S.2
Tibshirani, R.3
Zhu, J.4
-
16
-
-
1942483137
-
Transductive inference for text classification using support vector machines
-
T. Joachims. Transductive inference for text classification using support vector machines. In ICML 1999.
-
(1999)
ICML
-
-
Joachims, T.1
-
17
-
-
0036258405
-
Support vector machines and the Bayes rule in classification
-
Y. Lin. Support vector machines and the Bayes rule in classification. Data Mining and Knowledge Discovery, 6:259-275, 2002.
-
(2002)
Data Mining and Knowledge Discovery
, vol.6
, pp. 259-275
-
-
Lin, Y.1
-
18
-
-
24344444131
-
Statistical properties of the method of regularization with periodic Gaussian reproducing kernel
-
Y. Lin and L. D. Brown. Statistical properties of the method of regularization with periodic Gaussian reproducing kernel. Ann. Statist., 32:1723-1743, 2004.
-
(2004)
Ann. Statist
, vol.32
, pp. 1723-1743
-
-
Lin, Y.1
Brown, L.D.2
-
20
-
-
33745638149
-
Multicategory ψ-learning
-
Y. Liu and X. Shen. Multicategory ψ-learning. J. Amer. Statist. Assoc., 101:500-509, 2006.
-
(2006)
J. Amer. Statist. Assoc
, vol.101
, pp. 500-509
-
-
Liu, Y.1
Shen, X.2
-
22
-
-
0006009575
-
Text classification from labeled and unlabeled documents using EM
-
K. Nigam, A. McCallum, S. Thrun and T. Mitchell. Text classification from labeled and unlabeled documents using EM. In AAAI 1998.
-
(1998)
AAAI
-
-
Nigam, K.1
McCallum, A.2
Thrun, S.3
Mitchell, T.4
-
23
-
-
17444438778
-
New support vector algorithms
-
B. Schölkopf, A. Smola, R. Williamson and P. Bartlett. New support vector algorithms. Neural Computation, 12:1207-1245, 2000.
-
(2000)
Neural Computation
, vol.12
, pp. 1207-1245
-
-
Schölkopf, B.1
Smola, A.2
Williamson, R.3
Bartlett, P.4
-
24
-
-
21844489169
-
Convergence rate of sieve estimates
-
X. Shen and W. Wong. Convergence rate of sieve estimates. Ann. Statist., 22:580-615, 1994.
-
(1994)
Ann. Statist
, vol.22
, pp. 580-615
-
-
Shen, X.1
Wong, W.2
-
25
-
-
0032376009
-
On the method of penalization
-
X. Shen. On the method of penalization. Statist. Silica, 8:337-357, 1998.
-
(1998)
Statist. Silica
, vol.8
, pp. 337-357
-
-
Shen, X.1
-
26
-
-
33745635949
-
Optimal model assessment, selection and combination
-
X. Shen and H. C. Huang. Optimal model assessment, selection and combination. J. Amen Statist. Assoc., 101:554-568, 2006.
-
(2006)
J. Amen Statist. Assoc
, vol.101
, pp. 554-568
-
-
Shen, X.1
Huang, H.C.2
-
27
-
-
0242679446
-
On psi-learning
-
X. Shen, G. C. Tseng, X. Zhang and W. Wong. On psi-learning. J. Amer. Statist. Assoc., 98:724-734, 2003.
-
(2003)
J. Amer. Statist. Assoc
, vol.98
, pp. 724-734
-
-
Shen, X.1
Tseng, G.C.2
Zhang, X.3
Wong, W.4
-
28
-
-
35548954550
-
-
X. Shen and L. Wang. Discussion of 2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization. Ann. Statist., in press.
-
X. Shen and L. Wang. Discussion of 2004 IMS Medallion Lecture: "Local Rademacher complexities and oracle inequalities in risk minimization". Ann. Statist., in press.
-
-
-
-
29
-
-
0010786475
-
On the influence of the kernel on the consistency of support vector machines
-
I. Steinwart. On the influence of the kernel on the consistency of support vector machines. J. Machine Learning Research, 2:67-93, 2001.
-
(2001)
J. Machine Learning Research
, vol.2
, pp. 67-93
-
-
Steinwart, I.1
-
30
-
-
84898939676
-
Information regularization with partially labeled data
-
M. Szummer and T. Jaakkola. Information regularization with partially labeled data. In NIPS 2003.
-
(2003)
NIPS
-
-
Szummer, M.1
Jaakkola, T.2
-
31
-
-
21144465429
-
Hellinger-consistency of certain nonparametric maximum likelihood estimators
-
S. Van De Geer. Hellinger-consistency of certain nonparametric maximum likelihood estimators. Ann. Statist., 21:14-44, 1993.
-
(1993)
Ann. Statist
, vol.21
, pp. 14-44
-
-
Van De Geer, S.1
-
33
-
-
0003241883
-
Spline models for observational data
-
SIAM, Philadelphia
-
G. Wahba. Spline models for observational data. Series in Applied Mathematics, Vol. 59, SIAM, Philadelphia, 1990.
-
(1990)
Series in Applied Mathematics
, vol.59
-
-
Wahba, G.1
-
34
-
-
33746128910
-
Estimation of generalization error: Random and fixed inputs
-
J. Wang and X. Shen. Estimation of generalization error: random and fixed inputs. Statist. Sinica, 16:569-588, 2006.
-
(2006)
Statist. Sinica
, vol.16
, pp. 569-588
-
-
Wang, J.1
Shen, X.2
-
36
-
-
0005004572
-
A probability analysis on the value of unlabeled data for classification problems
-
T. Zhang and F. Oies. A probability analysis on the value of unlabeled data for classification problems. In ICML 2000.
-
(2000)
ICML
-
-
Zhang, T.1
Oies, F.2
-
37
-
-
0036748375
-
The covering number in learning theory
-
D. Zhou. The covering number in learning theory. J. of Complexity, 18:739-767, 2002.
-
(2002)
J. of Complexity
, vol.18
, pp. 739-767
-
-
Zhou, D.1
-
38
-
-
15944424353
-
Kernel logistic regression and the import vector machine
-
J. Zhu and T. Hastie. Kernel logistic regression and the import vector machine. J. Comp. Graph. Statist., 14:185-205, 2005.
-
(2005)
J. Comp. Graph. Statist
, vol.14
, pp. 185-205
-
-
Zhu, J.1
Hastie, T.2
-
39
-
-
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 ICML 2003.
-
(2003)
ICML
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.3
-
40
-
-
31844438481
-
Harmonic mixtures: Combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
-
X. Zhu and J. Lafferty. Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning. In ICML 2005.
-
(2005)
ICML
-
-
Zhu, X.1
Lafferty, J.2
|