A review on particle swarm optimization algorithms and their applications to data clustering.
- Published in:
- Artificial Intelligence Review, 2011, v. 35, n. 3, p. 211, doi. 10.1007/s10462-010-9191-9
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- Publication type:
- Article
Works matching IS 02692821 AND DT 2011 AND VI 35 AND IP 3
Results: 5
1
2
Improving concurrency in temporal plans.
- Published in:
- Artificial Intelligence Review, 2011, v. 35, n. 3, p. 191, doi. 10.1007/s10462-010-9190-x
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- Publication type:
- Article
3
Combining bagging, boosting, rotation forest and random subspace methods.
- Published in:
- Artificial Intelligence Review, 2011, v. 35, n. 3, p. 223, doi. 10.1007/s10462-010-9192-8
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- Publication type:
- Article
4
Distributed SAT.
- Published in:
- Artificial Intelligence Review, 2011, v. 35, n. 3, p. 265, doi. 10.1007/s10462-010-9194-6
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- Publication type:
- Article
5
State of the art versus classical clustering for unsupervised word sense disambiguation.
- Published in:
- Artificial Intelligence Review, 2011, v. 35, n. 3, p. 241, doi. 10.1007/s10462-010-9193-7
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- Publication type:
- Article