Introduction to the special issue on discovery science.
- Published in:
- Machine Learning, 2018, v. 107, n. 11, p. 1647, doi. 10.1007/s10994-018-5749-6
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- Article
Works matching IS 08856125 AND DT 2018 AND VI 107 AND IP 11
Results: 9
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Ensembles for multi-target regression with random output selections.
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- Machine Learning, 2018, v. 107, n. 11, p. 1673, doi. 10.1007/s10994-018-5744-y
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- Article
3
Discovering a taste for the unusual: exceptional models for preference mining.
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- Machine Learning, 2018, v. 107, n. 11, p. 1775, doi. 10.1007/s10994-018-5743-z
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- Article
4
On analyzing user preference dynamics with temporal social networks.
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- Machine Learning, 2018, v. 107, n. 11, p. 1745, doi. 10.1007/s10994-018-5740-2
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- Article
5
A comparison of hierarchical multi-output recognition approaches for anuran classification.
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- Machine Learning, 2018, v. 107, n. 11, p. 1651, doi. 10.1007/s10994-018-5739-8
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- Publication type:
- Article
6
Targeted and contextual redescription set exploration.
- Published in:
- Machine Learning, 2018, v. 107, n. 11, p. 1809, doi. 10.1007/s10994-018-5738-9
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- Publication type:
- Article
7
Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams.
- Published in:
- Machine Learning, 2018, v. 107, n. 11, p. 1711, doi. 10.1007/s10994-018-5719-z
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- Publication type:
- Article
8
Probabilistic frequent subtrees for efficient graph classification and retrieval.
- Published in:
- Machine Learning, 2018, v. 107, n. 11, p. 1847, doi. 10.1007/s10994-017-5688-7
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- Publication type:
- Article
9
Analyzing business process anomalies using autoencoders.
- Published in:
- Machine Learning, 2018, v. 107, n. 11, p. 1875, doi. 10.1007/s10994-018-5702-8
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- Publication type:
- Article