On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis.
- Published in:
- Machine Learning, 2018, v. 107, n. 8-10, p. 1537, doi. 10.1007/s10994-018-5733-1
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- Publication type:
- Article
Works matching IS 08856125 AND DT 2018 AND VI 107 AND IP 8-10
Results: 18
1
2
Guest editors introduction to the special issue for the ECML PKDD 2018 journal track.
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- Machine Learning, 2018, v. 107, n. 8-10, p. 1207, doi. 10.1007/s10994-018-5745-x
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- Article
3
Optimizing non-decomposable measures with deep networks.
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- Machine Learning, 2018, v. 107, n. 8-10, p. 1597, doi. 10.1007/s10994-018-5736-y
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- Article
4
ML-Plan: Automated machine learning via hierarchical planning.
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- Machine Learning, 2018, v. 107, n. 8-10, p. 1495, doi. 10.1007/s10994-018-5735-z
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- Article
5
High-dimensional penalty selection via minimum description length principle.
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- Machine Learning, 2018, v. 107, n. 8-10, p. 1283, doi. 10.1007/s10994-018-5732-2
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- Publication type:
- Article
6
Inverse reinforcement learning from summary data.
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- Machine Learning, 2018, v. 107, n. 8-10, p. 1517, doi. 10.1007/s10994-018-5730-4
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- Publication type:
- Article
7
An online prediction algorithm for reinforcement learning with linear function approximation using cross entropy method.
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- Machine Learning, 2018, v. 107, n. 8-10, p. 1385, doi. 10.1007/s10994-018-5727-z
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- Publication type:
- Article
8
Similarity encoding for learning with dirty categorical variables.
- Published in:
- Machine Learning, 2018, v. 107, n. 8-10, p. 1477, doi. 10.1007/s10994-018-5724-2
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- Article
9
Deep Gaussian Process autoencoders for novelty detection.
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- Machine Learning, 2018, v. 107, n. 8-10, p. 1363, doi. 10.1007/s10994-018-5723-3
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- Article
10
Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes.
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- Machine Learning, 2018, v. 107, n. 8-10, p. 1303, doi. 10.1007/s10994-018-5718-0
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- Article
11
Stagewise learning for noisy k-ary preferences.
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- Machine Learning, 2018, v. 107, n. 8-10, p. 1333, doi. 10.1007/s10994-018-5716-2
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- Publication type:
- Article
12
Learning from binary labels with instance-dependent noise.
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- Machine Learning, 2018, v. 107, n. 8-10, p. 1561, doi. 10.1007/s10994-018-5715-3
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- Article
13
A distributed Frank-Wolfe framework for learning low-rank matrices with the trace norm.
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- Machine Learning, 2018, v. 107, n. 8-10, p. 1457, doi. 10.1007/s10994-018-5713-5
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- Article
14
A new method of moments for latent variable models.
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- Machine Learning, 2018, v. 107, n. 8-10, p. 1431, doi. 10.1007/s10994-018-5706-4
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- Article
15
Approximate structure learning for large Bayesian networks.
- Published in:
- Machine Learning, 2018, v. 107, n. 8-10, p. 1209, doi. 10.1007/s10994-018-5701-9
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- Publication type:
- Article
16
Global multi-output decision trees for interaction prediction.
- Published in:
- Machine Learning, 2018, v. 107, n. 8-10, p. 1257, doi. 10.1007/s10994-018-5700-x
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- Article
17
Output Fisher embedding regression.
- Published in:
- Machine Learning, 2018, v. 107, n. 8-10, p. 1229, doi. 10.1007/s10994-018-5698-0
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- Publication type:
- Article
18
Local contrast as an effective means to robust clustering against varying densities.
- Published in:
- Machine Learning, 2018, v. 107, n. 8-10, p. 1621, doi. 10.1007/s10994-017-5693-x
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- Publication type:
- Article