-
6
-
-
84964085441
-
On the algorithmic interpretation of multiclass kernel-based vector machines
-
Crammer, K., & Singer, Y. (2001). On the algorithmic interpretation of multiclass kernel-based vector machines. Journal of Machine Learning Research, 2.
-
(2001)
Journal of Machine Learning Research
, vol.2
-
-
Crammer, K.1
Singer, Y.2
-
7
-
-
0033106244
-
Evaluation and improvement of multiple sequence methods for protein secondary structure prediction
-
DOI 10.1002/(SI CI)1097-0134(199 90301)34:4<50 8::AID-PROT 10>3.0.CO;2-4
-
Cuff, J., & Barton, G. (1999). Evaluation and improvement of multiple sequence methods for protein secondary structure prediction. Proteins: Structure, Function and Genetics, 34, 508-519. www.compbio.dundee.ac.uk/fiwww- jpred/data. (Pubitemid 29129701)
-
(1999)
Proteins: Structure, Function and Genetics
, vol.34
, Issue.4
, pp. 508-519
-
-
Cuff, J.A.1
Barton, G.J.2
-
8
-
-
0031276011
-
Bayesian network classifiers
-
Friedman, N., Geiger, D., & Goldszmidt, M. (1997). Bayesian network classifiers. Machine Learning, 29, 131-163. (Pubitemid 127510036)
-
(1997)
Machine Learning
, vol.29
, Issue.2-3
, pp. 131-163
-
-
Friedman, N.1
Geiger, D.2
Goldszmidt, M.3
-
9
-
-
33646426783
-
Kernel conditional random fields: Representation, clique selection, and semi-supervised learning
-
Lafferty, J., Liu, Y., & Zhu, X. (2004). Kernel conditional random fields: Representation, clique selection, and semi-supervised learning. Proceedings of the International Conference on Machine Learning (ICML-04).
-
(2004)
Proceedings of the International Conference on Machine Learning (ICML-04)
-
-
Lafferty, J.1
Liu, Y.2
Zhu, X.3
-
11
-
-
8844278523
-
Learning the kernel matrix with semidefinite programming
-
Lanckriet, G., Cristianini, N., Bartlett, P., Ghaoui, L., & Jordan, M. (2004). Learning the kernel matrix with semidefinite programming. Journal of Machine Learning Research, 5.
-
(2004)
Journal of Machine Learning Research
, vol.5
-
-
Lanckriet, G.1
Cristianini, N.2
Bartlett, P.3
Ghaoui, L.4
Jordan, M.5
-
13
-
-
84898946653
-
Classification with hybrid discriminative / generative models
-
Raina, R., Shen, Y., Ng, A., & McCallum, A. (2003). Classification with hybrid discriminative / generative models. Advances in Neural Information Processing Systems 16 (NIPS-03).
-
(2003)
Advances in Neural Information Processing Systems 16 (NIPS-03)
-
-
Raina, R.1
Shen, Y.2
Ng, A.3
McCallum, A.4
-
14
-
-
0003408420
-
-
MIT Press
-
Schoelkopf, B., & Smola, A. (2002). Learning with kernels: Support vector machines, regularization, optimization, and beyond. MIT Press.
-
(2002)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and beyond
-
-
Schoelkopf, B.1
Smola, A.2
-
16
-
-
85117165447
-
Max-margin parsing
-
Taskar, B., Klein, D., Collins, M., Koller, D., & Manning, C. (2004). Max-margin parsing. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMPNLP-04).
-
(2004)
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMPNLP-04)
-
-
Taskar, B.1
Klein, D.2
Collins, M.3
Koller, D.4
Manning, C.5
-
17
-
-
14344250451
-
Support vector machine learning for interdependent and structured output spaces
-
Tsochantaridis, I., Hofmann, T., Joachims, T., & Altun, Y. (2004). Support vector machine learning for interdependent and structured output spaces. Proceedings of the International Conference on Machine Learning (ICML-04).
-
(2004)
Proceedings of the International Conference on Machine Learning (ICML-04)
-
-
Tsochantaridis, I.1
Hofmann, T.2
Joachims, T.3
Altun, Y.4
-
19
-
-
77951178042
-
-
(Technical Report HIIT 2002-1). Helsinki Inst. Info. Tech
-
Wettig, H., Grunwald, P., Roos, T., Myllymaki, P., & Tirri, H. (2002). On supervised learning of Bayesian network parameters (Technical Report HIIT 2002-1). Helsinki Inst. Info. Tech.
-
(2002)
On Supervised Learning of Bayesian Network Parameters
-
-
Wettig, H.1
Grunwald, P.2
Roos, T.3
Myllymaki, P.4
Tirri, H.5
-
20
-
-
21244460734
-
When discriminative learning of Bayesian network parameters is easy
-
Wettig, H., Grunwald, P., Roos, T., Myllymaki, P., & Tirri, H. (2003). When discriminative learning of Bayesian network parameters is easy. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-03).
-
(2003)
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-03)
-
-
Wettig, H.1
Grunwald, P.2
Roos, T.3
Myllymaki, P.4
Tirri, H.5
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