-
1
-
-
0031620208
-
Combining labeled and unlabeled data with co-training
-
ACM, New York, NY, USA
-
A. Blum, T. Mitchell, Combining labeled and unlabeled data with co-training, in Proceedings of the 11th Annual Conference on Computational Learning Theory (ACM, New York, NY, USA, 1998), pp. 92-100
-
(1998)
Proceedings of the 11th Annual Conference on Computational Learning Theory
, pp. 92-100
-
-
Blum, A.1
Mitchell, T.2
-
2
-
-
33749246419
-
Efficient co-regularised least squares regression
-
ACM, New York, NY, USA
-
U. Brefeld, T. Gärtner, T. Scheffer, S.Wrobel, Efficient co-regularised least squares regression, in Proceedings of the 23rd International Conference on Machine learning (ACM, New York, NY, USA, 2006), pp. 137-144
-
(2006)
Proceedings of the 23rd International Conference on Machine learning
, pp. 137-144
-
-
Brefeld, U.1
Gärtner, T.2
Scheffer, T.3
Wrobel, S.4
-
3
-
-
19544377151
-
Co-em support vector learning
-
ACM, New York, NY, USA
-
U. Brefeld, T. Scheffer, Co-em support vector learning, in Proceedings of the 21st International Conference on Machine learning (ACM, New York, NY, USA, 2004), p. 16
-
(2004)
Proceedings of the 21st International Conference on Machine learning
, pp. 16
-
-
Brefeld, U.1
Scheffer, T.2
-
5
-
-
33646057547
-
New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron
-
Morristown, NJ, USA
-
M. Collins, N. Duffy, New ranking algorithms for parsing and tagging: kernels over discrete structures, and the voted perceptron, in ACL '02: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics (Association for Computational Linguistics, Morristown, NJ, USA, 2001), pp. 263-270
-
(2001)
ACL '02: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics (Association for Computational Linguistics
, pp. 263-270
-
-
Collins, M.1
Duffy, N.2
-
6
-
-
84898970009
-
Log-linear models for label ranking
-
ed. by S. Thrun, L. Saul, B. Schölkopf (MIT, Cambridge, MA
-
O. Dekel, C.D. Manning, Y. Singer, Log-linear models for label ranking, in Advances in Neural Information Processing Systems, vol. 16, ed. by S. Thrun, L. Saul, B. Schölkopf (MIT, Cambridge, MA, 2004), pp. 497-504
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
, pp. 497-504
-
-
Dekel, O.1
Manning, C.D.2
Singer, Y.3
-
7
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
J. Demsar, Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. 7, 1-30 (2006)
-
(2006)
J. Mach. Learn. Res
, vol.7
, pp. 1-30
-
-
Demsar, J.1
-
10
-
-
0033322991
-
Support vector learning for ordinal regression
-
R. Herbrich, T. Graepel, K. Obermayer, Support vector learning for ordinal regression, in Proceedings of the Ninth International Conference on Articial Neural Networks (Institute of Electrical Engineers, London, 1999), pp. 97-102
-
(1999)
Proceedings of the Ninth International Conference on Articial Neural Networks (Institute of Electrical Engineers, London
, pp. 97-102
-
-
Herbrich, R.1
Graepel, T.2
Obermayer, K.3
-
12
-
-
60949112451
-
An efficient algorithm for learning to rank from preference graphs
-
T. Pahikkala, E. Tsivtsivadze, A. Airola, J. Järvinen, J. Boberg, An efficient algorithm for learning to rank from preference graphs. Mach. Learn. 75(1), 129-165 (2009)
-
(2009)
Mach. Learn
, vol.75
, Issue.1
, pp. 129-165
-
-
Pahikkala, T.1
Tsivtsivadze, E.2
Airola, A.3
Järvinen, J.4
Boberg, J.5
-
13
-
-
56649101170
-
Graph kernels versus graph representations: A case study in parse ranking
-
ed. by T. Gärtner, G.C. Garriga, T. Meinl, Berlin, Germany
-
T. Pahikkala, E. Tsivtsivadze, J. Boberg, T. Salakoski, Graph kernels versus graph representations: a case study in parse ranking, in Proceedings of the ECML/PKDD'06 workshop on Mining and Learning with Graphs, ed. by T. Gärtner, G.C. Garriga, T. Meinl, Berlin, Germany (pp. 181-188) (2006)
-
(2006)
Proceedings of the ECML/PKDD'06 workshop on Mining and Learning with Graphs
, pp. 181-188
-
-
Pahikkala, T.1
Tsivtsivadze, E.2
Boberg, J.3
Salakoski, T.4
-
14
-
-
0025490985
-
Networks for approximation and learning
-
T. Poggio, F. Girosi, Networks for approximation and learning. Proc. IEEE 78(9), 1481-1497 (1990)
-
(1990)
Proc. IEEE
, vol.78
, Issue.9
, pp. 1481-1497
-
-
Poggio, T.1
Girosi, F.2
-
15
-
-
0000812783
-
Partitioning sparse matrices with eigenvectors of graphs
-
A. Pothen, H.D. Simon, K.-P. Liou, Partitioning sparse matrices with eigenvectors of graphs. SIAM J. Matrix Anal. Appl. 11(3), 430-452 (1990)
-
(1990)
SIAM J. Matrix Anal. Appl
, vol.11
, Issue.3
, pp. 430-452
-
-
Pothen, A.1
Simon, H.D.2
Liou, K.-P.3
-
16
-
-
33847608309
-
Bioinfer: A corpus for information extraction in the biomedical domain
-
S. Pyysalo, F. Ginter, J. Heimonen, J. Björne, J. Boberg, J. Järvinen, T. Salakoski, BioInfer: A corpus for information extraction in the biomedical domain. BMC Bioinformatics, 8, 50 (2007)
-
(2007)
BMC Bioinformatics
, vol.8
, pp. 50
-
-
Pyysalo, S.1
Ginter, F.2
Heimonen, J.3
Björne, J.4
Boberg, J.5
Järvinen, J.6
Salakoski, T.7
-
17
-
-
29144453489
-
A unifying view of sparse approximate gaussian process regression
-
J. Quinonero-Candela, CE. Rasmussen, A unifying view of sparse approximate Gaussian process regression. J. Mach. Learn. Res. 6, 1939-1959 (2005)
-
(2005)
J. Mach. Learn. Res
, vol.6
, pp. 1939-1959
-
-
Quinonero-Candela, J.1
Rasmussen C, E.2
-
18
-
-
84862283080
-
The rademacher complexity of co-regularized kernel classes
-
ed. by M. Meila, X. Shen
-
D. Rosenberg, P.L. Bartlett, The rademacher complexity of co-regularized kernel classes, in Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, ed. by M. Meila, X. Shen (2007), pp. 396-403
-
(2007)
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics
, pp. 396-403
-
-
Rosenberg, D.1
Bartlett, P.L.2
-
19
-
-
84865131152
-
A generalized representer theorem
-
ed. by David P. Helmbold, B. Williamson ( Springer, London
-
B. Schölkopf, R. Herbrich, A.J. Smola, A generalized representer theorem, in Proceedings of the 14th Annual Conference on Computational Learning Theory, ed. by David P. Helmbold, B. Williamson (Springer, London, 2001), pp. 416-426
-
(2001)
Proceedings of the 14th Annual Conference on Computational Learning Theory
, pp. 416-426
-
-
Schölkopf, B.1
Herbrich, R.2
Smola, A.J.3
-
21
-
-
56449131204
-
An rkhs for multi-view learning and manifold co-regularization
-
ed. by A. McCallum, S. Roweis (Omnipress, Helsinki, Finland
-
V. Sindhwani, D. Rosenberg, An rkhs for multi-view learning and manifold co-regularization, in Proceedings of the 25th Annual International Conference on Machine Learning (ICML 2008), ed. by A. McCallum, S. Roweis (Omnipress, Helsinki, Finland, 2008), pp. 976-983
-
(2008)
Proceedings of the 25th Annual International Conference on Machine Learning (ICML 2008)
, pp. 976-983
-
-
Sindhwani, V.1
Rosenberg, D.2
-
22
-
-
0002493574
-
Sparse greedy matrix approximation for machine learning
-
ed. by Pat Langley ( Morgan Kaufmann Publishers, San Francisco, Ca, USA
-
A.J. Smola, B. Schölkopf, Sparse greedy matrix approximation for machine learning, in Proceedings of the 17th International Conference on Machine Learning, ed. by Pat Langley (Morgan Kaufmann Publishers, San Francisco, Ca, USA, 2000), pp. 911-918
-
(2000)
Proceedings of the 17th International Conference on Machine Learning
, pp. 911-918
-
-
Smola, A.J.1
Schölkopf, B.2
-
23
-
-
60949102658
-
A sparse regularized least-squares preference learning algorithm
-
ed. by A. Holst, P. Kreuger, P. Funk (IOS
-
E. Tsivtsivadze, T. Pahikkala, A. Airola, J. Boberg, T. Salakoski, A sparse regularized least-squares preference learning algorithm, in 10th Scandinavian Conference on Artificial Intelligence (SCAI 2008), vol. 173, ed. by A. Holst, P. Kreuger, P. Funk (IOS, 2008), pp. 76-83
-
(2008)
10th Scandinavian Conference on Artificial Intelligence (SCAI 2008
, vol.173
, pp. 76-83
-
-
Tsivtsivadze, E.1
Pahikkala, T.2
Airola, A.3
Boberg, J.4
Salakoski, T.5
-
24
-
-
33745202856
-
Regularized least-squares for parse ranking
-
ed. by A. Fazel Famili, J.N. Kok, J.M. Pena, A. Siebes, A.J. Feelders ( Springer
-
E. Tsivtsivadze, T. Pahikkala, S. Pyysalo, J. Boberg, A. Mylläri, T. Salakoski, Regularized least-squares for parse ranking, in Advances in Intelligent Data Analysis VI, ed. by A. Fazel Famili, J.N. Kok, J.M. Pena, A. Siebes, A.J. Feelders (Springer, 2005), pp. 464-474
-
(2005)
Advances in Intelligent Data Analysis
, vol.6
, pp. 464-474
-
-
Tsivtsivadze, E.1
Pahikkala, T.2
Pyysalo, S.3
Boberg, J.4
Mylläri, A.5
Salakoski, T.6
-
25
-
-
0036643065
-
Kernel matching pursuit
-
P. Vincent, Y. Bengio, Kernel matching pursuit. Mach. Learn. 48(1-3), 165-187 (2002)
-
(2002)
Mach. Learn
, vol.48
, Issue.1-3
, pp. 165-187
-
-
Vincent, P.1
Bengio, Y.2
|