An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection.
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- Machine Learning, 2003, v. 51, n. 1, p. 73, doi. 10.1023/A:1021830128811
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- Publication type:
- Article
Works matching IS 08856125 AND DT 2003 AND VI 51 AND IP 1
Results: 4
1
2
Polynomial-Time Decomposition Algorithms for Support Vector Machines.
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- Machine Learning, 2003, v. 51, n. 1, p. 51, doi. 10.1023/A:1021877911972
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- Publication type:
- Article
3
Relative Loss Bounds for Temporal-Difference Learning.
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- Machine Learning, 2003, v. 51, n. 1, p. 23, doi. 10.1023/A:1021825927902
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- Publication type:
- Article
4
PAC-Bayesian Stochastic Model Selection.
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- Machine Learning, 2003, v. 51, n. 1, p. 5, doi. 10.1023/A:1021840411064
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- Publication type:
- Article