-
1
-
-
18744410770
-
Understanding the Yarowsky algorithm
-
S. Abney. Understanding the Yarowsky algorithm. Computat. Linguistics, 30: 365-395, 2004.
-
(2004)
Computat. Linguistics
, vol.30
, pp. 365-395
-
-
Abney, S.1
-
2
-
-
0003796630
-
-
Academic Press, New York
-
R. A. Adams. Sobolev Spaces. Academic Press, New York, 1975.
-
(1975)
Sobolev Spaces
-
-
Adams, R.A.1
-
3
-
-
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 IJCAI, 2003.
-
(2003)
IJCAI
-
-
Amini, M.1
Gallinari, P.2
-
4
-
-
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
-
5
-
-
27844439373
-
A framework for learning predictive structures from multiple tasks and unlabeled data
-
R. Ando and T. Zhang. A framework for learning predictive structures from multiple tasks and unlabeled data. J. Mach. Learn. Res., 6:1817-1853, 2005.
-
(2005)
J. Mach. Learn. Res
, vol.6
, pp. 1817-1853
-
-
Ando, R.1
Zhang, T.2
-
6
-
-
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
-
12
-
-
0005319337
-
A system of scoring linkage data, with special reference to the pied factors in mice
-
R. A. Fisher. A system of scoring linkage data, with special reference to the pied factors in mice. Amen Nat., 80:568-578, 1946.
-
(1946)
Amen Nat
, vol.80
, pp. 568-578
-
-
Fisher, R.A.1
-
14
-
-
0034616930
-
Functional discovery via a compendium of expression profiles
-
T. Hughes, M. Marton, A. Jones, C. Roberts, R. Stoughton, C. Armour, H. Bennett, E. Coffey, H. Dai, Y He, M. Kidd, A. King, M. Meyer, D. Slade, P. Lum, S. Stepaniants, D. Shoemaker, D. Gachotte, K. Chakraburtty, J. Simon, M. Bard and S. Friend. Functional discovery via a compendium of expression profiles. Cell, 102:109-126, 2000.
-
(2000)
Cell
, vol.102
, pp. 109-126
-
-
Hughes, T.1
Marton, M.2
Jones, A.3
Roberts, C.4
Stoughton, R.5
Armour, C.6
Bennett, H.7
Coffey, E.8
Dai, H.9
He, Y.10
Kidd, M.11
King, A.12
Meyer, M.13
Slade, D.14
Lum, P.15
Stepaniants, S.16
Shoemaker, D.17
Gachotte, D.18
Chakraburtty, K.19
Simon, J.20
Bard, M.21
Friend, S.22
more..
-
17
-
-
64149103562
-
-
A. N. Kolmogorov and V. M. Tihomirov. e-entropy and e-capacity of sets in function spaces. Uspekhi Mat. Nauk., 14:3-86, 1959. [In Russian. English translation, Ameri. Math. Soc. Transl., 14:277-364, 1961.
-
A. N. Kolmogorov and V. M. Tihomirov. e-entropy and e-capacity of sets in function spaces. Uspekhi Mat. Nauk., 14:3-86, 1959. [In Russian. English translation, Ameri. Math. Soc. Transl., 14:277-364, 1961.
-
-
-
-
18
-
-
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
-
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
-
21
-
-
84898978212
-
Boosting algorithms as gradient descent
-
MIT Press, Cambridge
-
P. Mason, L. Baxter, J. Bartlett and M. Frean. Boosting algorithms as gradient descent. In Advances in Neural Information Processing Systems, 12:512-518. MIT Press, Cambridge, 2000.
-
(2000)
Advances in Neural Information Processing Systems
, vol.12
, pp. 512-518
-
-
Mason, P.1
Baxter, L.2
Bartlett, J.3
Frean, M.4
-
23
-
-
0030765448
-
MIPS: A database for protein sequences, homology data and yeast genome information
-
H. Mewes, K. Albermann, K. Heumann, S. Liebl and F. Pfeiffer. MIPS: a database for protein sequences, homology data and yeast genome information. Nucleic Acids Res., 25:28-30, 2002.
-
(2002)
Nucleic Acids Res
, vol.25
, pp. 28-30
-
-
Mewes, H.1
Albermann, K.2
Heumann, K.3
Liebl, S.4
Pfeiffer, F.5
-
24
-
-
0033886806
-
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. Mach. Learn., 39:103-134, 1998.
-
(1998)
Mach. Learn
, vol.39
, pp. 103-134
-
-
Nigam, K.1
McCallum, A.2
Thrun, S.3
Mitchell, T.4
-
25
-
-
0003243224
-
Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
-
MIT press, Cambridge
-
J. Platt. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In Advances in Large Margin Classifiers, pages 61-74, MIT press, Cambridge, 1999.
-
(1999)
Advances in Large Margin Classifiers
, pp. 61-74
-
-
Platt, J.1
-
26
-
-
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., 8:1369-1392, 2007.
-
(2007)
J. Mach. Learn. Res
, vol.8
, pp. 1369-1392
-
-
Rigollet, P.1
-
27
-
-
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
-
28
-
-
0031321079
-
On method of sieves and penalization
-
X. Shen. On method of sieves and penalization. Ann. Statist., 25:2555-2591, 1997.
-
(1997)
Ann. Statist
, vol.25
, pp. 2555-2591
-
-
Shen, X.1
-
29
-
-
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
-
30
-
-
59349112940
-
-
X. Shen and L, Wang. Generalization error for multi-class margin classification. Electronic J. of Statist., 1:307-330,2007.
-
X. Shen and L, Wang. Generalization error for multi-class margin classification. Electronic J. of Statist., 1:307-330,2007.
-
-
-
-
31
-
-
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
-
32
-
-
84970983203
-
Unlabeled data: Now it helps, now it doesn't
-
A. Singh, R. Nowak and X. Zhu. Unlabeled data: Now it helps, now it doesn't. In NIPS, 2008.
-
(2008)
NIPS
-
-
Singh, A.1
Nowak, R.2
Zhu, X.3
-
33
-
-
3142725508
-
Optimal aggregation of classifiers in statistical learning
-
A. Tsybakov, Optimal aggregation of classifiers in statistical learning, Ann. Statist., 32:135-166, 2004.
-
(2004)
Ann. Statist
, vol.32
, pp. 135-166
-
-
Tsybakov, A.1
-
35
-
-
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
-
36
-
-
0001873883
-
Support vector machines, reproducing kernel Hilbert spaces and the randomized GACV
-
edited by B. Schoelkopf, C. Burges and A. Smola, MIT Press, Cambridge
-
G. Wahba. Support vector machines, reproducing kernel Hilbert spaces and the randomized GACV. In Advances in Kernel Methods: Support Vector Learning, edited by B. Schoelkopf, C. Burges and A. Smola, MIT Press, Cambridge, 1998.
-
(1998)
Advances in Kernel Methods: Support Vector Learning
-
-
Wahba, G.1
-
37
-
-
35548968410
-
Large margin semi-supervised learning
-
J. Wang andX. Shen. Large margin semi-supervised learning. J. Mach. Learn. Res., 8:1867-1891, 2007.
-
(2007)
J. Mach. Learn. Res
, vol.8
, pp. 1867-1891
-
-
Wang andX, J.1
Shen2
-
38
-
-
40249094631
-
Probability estimation for large margin classifiers
-
J. Wang, X. Shen and Y. Liu. Probability estimation for large margin classifiers. Biometrika, 95:149- 167, 2008.
-
(2008)
Biometrika
, vol.95
, pp. 149-167
-
-
Wang, J.1
Shen, X.2
Liu, Y.3
-
39
-
-
64149109051
-
On transductive support vector machine
-
J. Wang, X. Shen and W Pan. On transductive support vector machine. Contemp. Math., 43:7-19, 2007.
-
(2007)
Contemp. Math
, vol.43
, pp. 7-19
-
-
Wang, J.1
Shen, X.2
Pan, W.3
-
40
-
-
31044452892
-
Gene function prediction by a combined analysis of gene expression data and protein-protein interaction data
-
G. Xiao and W. Pan, Gene function prediction by a combined analysis of gene expression data and protein-protein interaction data. J. Bioinformatics and Computat. Biol., 3:1371-1390, 2005.
-
(2005)
J. Bioinformatics and Computat. Biol
, vol.3
, pp. 1371-1390
-
-
Xiao, G.1
Pan, W.2
-
42
-
-
0005004572
-
A probability analysis on the value of unlabeled data for classification problems
-
T. Zhang and F. Oles. A probability analysis on the value of unlabeled data for classification problems. In ICML, 2000.
-
(2000)
ICML
-
-
Zhang, T.1
Oles, F.2
-
43
-
-
0036790999
-
Transitive functional annotation by shortest-path analysis of gene expression data
-
X. Zhou, M. Kao and W. Wong. Transitive functional annotation by shortest-path analysis of gene expression data. Proc. Nat. Acad. Sci., 99:12783-12788, 2000.
-
(2000)
Proc. Nat. Acad. Sci
, vol.99
, pp. 12783-12788
-
-
Zhou, X.1
Kao, M.2
Wong, W.3
-
44
-
-
15944424353
-
Kernel logistic regression and the import vector machine
-
J. Zhu and T. Hastie. Kernel logistic regression and the import vector machine. J. Computat. Graph. Statist., 14:185-205,2005.
-
(2005)
J. Computat. Graph. Statist
, vol.14
, pp. 185-205
-
-
Zhu, J.1
Hastie, T.2
-
45
-
-
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
-
46
-
-
33745456231
-
Semi-supervised learning literature survey
-
Technical Report 1530, University of Wisconsin, Madison
-
X. Zhu. Semi-supervised learning literature survey. Technical Report 1530, University of Wisconsin, Madison, 2005.
-
(2005)
-
-
Zhu, X.1
|