Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning.
- Published in:
- Machine Learning, 2019, v. 108, n. 4, p. 659, doi. 10.1007/s10994-018-5765-6
- By:
- Publication type:
- Article
Works matching IS 08856125 AND DT 2019 AND VI 108 AND IP 4
Results: 6
1
2
Continuation methods for approximate large scale object sequencing.
- Published in:
- Machine Learning, 2019, v. 108, n. 4, p. 595, doi. 10.1007/s10994-018-5764-7
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- Publication type:
- Article
3
Visualizing and understanding Sum-Product Networks.
- Published in:
- Machine Learning, 2019, v. 108, n. 4, p. 551, doi. 10.1007/s10994-018-5760-y
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- Publication type:
- Article
4
The risk of trivial solutions in bipartite top ranking.
- Published in:
- Machine Learning, 2019, v. 108, n. 4, p. 627, doi. 10.1007/s10994-018-5759-4
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- Publication type:
- Article
5
Corruption-tolerant bandit learning.
- Published in:
- Machine Learning, 2019, v. 108, n. 4, p. 687, doi. 10.1007/s10994-018-5758-5
- By:
- Publication type:
- Article
6
Improved linear embeddings via Lagrange duality.
- Published in:
- Machine Learning, 2019, v. 108, n. 4, p. 575, doi. 10.1007/s10994-018-5729-x
- By:
- Publication type:
- Article