Works matching IS 15324435 AND DT 2005 AND VI 6 AND IP 9
Results: 13
Large Margin Methods for Structured and Interdependent Output Variables.
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- Journal of Machine Learning Research, 2005, v. 6, n. 9, p. 1453
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- Article
Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions.
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- Journal of Machine Learning Research, 2005, v. 6, n. 9, p. 1297
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Clustering on the Unit Hypersphere using von Mises-Fisher Distributions.
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- Journal of Machine Learning Research, 2005, v. 6, n. 9, p. 1345
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Inner Product Spaces for Bayesian Networks.
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- Journal of Machine Learning Research, 2005, v. 6, n. 9, p. 1383
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An MDP-Based Recommender System.
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- Journal of Machine Learning Research, 2005, v. 6, n. 9, p. 1265
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- Article
Efficient Computation of Gapped Substring Kernels on Large Alphabets.
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- Journal of Machine Learning Research, 2005, v. 6, n. 9, p. 1323
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Frames, Reproducing Kernels, Regularization and Learning.
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- Journal of Machine Learning Research, 2005, v. 6, n. 9, p. 1485
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- Article
Managing Diversity in Regression Ensembles.
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- Journal of Machine Learning Research, 2005, v. 6, n. 9, p. 1621
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- Article
Fast Kernel Classifiers with Online and Active Learning.
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- Journal of Machine Learning Research, 2005, v. 6, n. 9, p. 1579
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Maximum Margin Algorithms with Boolean Kernels.
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- Journal of Machine Learning Research, 2005, v. 6, n. 9, p. 1405
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A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior.
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- Journal of Machine Learning Research, 2005, v. 6, n. 9, p. 1551
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- Article
Local Propagation in Conditional Gaussian Bayesian Networks.
- Published in:
- Journal of Machine Learning Research, 2005, v. 6, n. 9, p. 1517
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- Article
A Bayes Optimal Approach for Partitioning the Values of Categorical Attributes.
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- Journal of Machine Learning Research, 2005, v. 6, n. 9, p. 1431
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- Article