Works matching IS 15324435 AND DT 2014 AND VI 15 AND IP 3
Results: 11
Gibbs Max-margin Topic Models with Data Augmentation.
- Published in:
- Journal of Machine Learning Research, 2014, v. 15, n. 3, p. 1073
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- Article
Improving Prediction from Dirichlet Process Mixtures via Enrichment.
- Published in:
- Journal of Machine Learning Research, 2014, v. 15, n. 3, p. 1041
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- Article
New Learning Methods for Supervised and Unsupervised Preference Aggregation.
- Published in:
- Journal of Machine Learning Research, 2014, v. 15, n. 3, p. 1135
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- Article
An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation.
- Published in:
- Journal of Machine Learning Research, 2014, v. 15, n. 3, p. 921
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- Article
Ellipsoidal Rounding for Nonnegative Matrix Factorization Under Noisy Separability.
- Published in:
- Journal of Machine Learning Research, 2014, v. 15, n. 3, p. 1011
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- Article
Natural Evolution Strategies.
- Published in:
- Journal of Machine Learning Research, 2014, v. 15, n. 3, p. 949
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- Article
Policy Evaluation with Temporal Differences: A Survey and Comparison.
- Published in:
- Journal of Machine Learning Research, 2014, v. 15, n. 3, p. 809
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- Article
Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation.
- Published in:
- Journal of Machine Learning Research, 2014, v. 15, n. 3, p. 981
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- Article
Prediction and Clustering in Signed Networks: A Local to Global Perspective.
- Published in:
- Journal of Machine Learning Research, 2014, v. 15, n. 3, p. 1177
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- Article
Active Learning Using Smooth Relative Regret Approximations with Applications.
- Published in:
- Journal of Machine Learning Research, 2014, v. 15, n. 3, p. 885
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- Article
A Reliable Effective Terascale Linear Learning System.
- Published in:
- Journal of Machine Learning Research, 2014, v. 15, n. 3, p. 1111
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- Article