Empirical hardness of finding optimal Bayesian network structures: algorithm selection and runtime prediction.
- Published in:
- Machine Learning, 2018, v. 107, n. 1, p. 247, doi. 10.1007/s10994-017-5680-2
- By:
- Publication type:
- Article
Works matching IS 08856125 AND DT 2018 AND VI 107 AND IP 1
Results: 10
1
2
Data complexity meta-features for regression problems.
- Published in:
- Machine Learning, 2018, v. 107, n. 1, p. 209, doi. 10.1007/s10994-017-5681-1
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- Publication type:
- Article
3
Discovering predictive ensembles for transfer learning and meta-learning.
- Published in:
- Machine Learning, 2018, v. 107, n. 1, p. 177, doi. 10.1007/s10994-017-5682-0
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- Publication type:
- Article
4
Efficient benchmarking of algorithm configurators via model-based surrogates.
- Published in:
- Machine Learning, 2018, v. 107, n. 1, p. 15, doi. 10.1007/s10994-017-5683-z
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- Publication type:
- Article
5
Scalable Gaussian process-based transfer surrogates for hyperparameter optimization.
- Published in:
- Machine Learning, 2018, v. 107, n. 1, p. 43, doi. 10.1007/s10994-017-5684-y
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- Publication type:
- Article
6
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery.
- Published in:
- Machine Learning, 2018, v. 107, n. 1, p. 285, doi. 10.1007/s10994-017-5685-x
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- Publication type:
- Article
7
The online performance estimation framework: heterogeneous ensemble learning for data streams.
- Published in:
- Machine Learning, 2018, v. 107, n. 1, p. 149, doi. 10.1007/s10994-017-5686-9
- By:
- Publication type:
- Article
8
Speeding up algorithm selection using average ranking and active testing by introducing runtime.
- Published in:
- Machine Learning, 2018, v. 107, n. 1, p. 79, doi. 10.1007/s10994-017-5687-8
- By:
- Publication type:
- Article
9
Metalearning and Algorithm Selection: progress, state of the art and introduction to the 2018 Special Issue.
- Published in:
- 2018
- By:
- Publication type:
- Editorial
10
Instance spaces for machine learning classification.
- Published in:
- Machine Learning, 2018, v. 107, n. 1, p. 109, doi. 10.1007/s10994-017-5629-5
- By:
- Publication type:
- Article