Bayesian Network Structure Learning by Recursive Autonomy Identification.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1527
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- Publication type:
- Article
Works matching IS 15324435 AND DT 2009 AND VI 10 AND IP 7
Results: 16
1
2
Learning Linear Ranking Functions for Beam Search with Application to Planning.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1571
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- Publication type:
- Article
3
Robustness and Regularization of Support Vector Machines.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1485
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- Publication type:
- Article
4
Classification with Gaussians and Convex Loss.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1447
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- Publication type:
- Article
5
Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1341
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- Publication type:
- Article
6
Transfer Learning for Reinforcement Learning Domains: A Survey.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1633
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- Publication type:
- Article
7
Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1511
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- Publication type:
- Article
8
Model Monitor (M²): Evaluating, Comparing, and Monitoring Models.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1387
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- Publication type:
- Article
9
Marginal Likelihood Integrals for Mixtures of Independence Models.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1611
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- Publication type:
- Article
10
Dlib-ml: A Machine Learning Toolkit.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1755
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- Publication type:
- Article
11
A Least-squares Approach to Direct Importance Estimation.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1391
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- Publication type:
- Article
12
Learning Permutations with Exponential Weights.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1705
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- Publication type:
- Article
13
Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1469
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- Publication type:
- Article
14
Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1687
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- Publication type:
- Article
15
A Parameter-Free Classification Method for Large Scale Learning.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1367
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- Publication type:
- Article
16
SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent.
- Published in:
- Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1737
- By:
- Publication type:
- Article