MODL: A Bayes optimal discretization method for continuous attributes.
- Published in:
- Machine Learning, 2006, v. 65, n. 1, p. 131, doi. 10.1007/s10994-006-8364-x
- By:
- Publication type:
- Article
Works matching IS 08856125 AND DT 2006 AND VI 65 AND IP 1
Results: 11
1
2
Training a reciprocal-sigmoid classifier by feature scaling-space.
- Published in:
- Machine Learning, 2006, v. 65, n. 1, p. 273, doi. 10.1007/s10994-006-9455-4
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- Publication type:
- Article
3
Semi-supervised model-based document clustering: A comparative study.
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- Machine Learning, 2006, v. 65, n. 1, p. 3, doi. 10.1007/s10994-006-6540-7
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- Publication type:
- Article
4
An efficient top-down search algorithm for learning Boolean networks of gene expression.
- Published in:
- Machine Learning, 2006, v. 65, n. 1, p. 229, doi. 10.1007/s10994-006-9014-z
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- Publication type:
- Article
5
A suffix tree approach to anti-spam email filtering.
- Published in:
- Machine Learning, 2006, v. 65, n. 1, p. 309, doi. 10.1007/s10994-006-9505-y
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- Publication type:
- Article
6
Kernels as features: On kernels, margins, and low-dimensional mappings.
- Published in:
- Machine Learning, 2006, v. 65, n. 1, p. 79, doi. 10.1007/s10994-006-7550-1
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- Publication type:
- Article
7
The max-min hill-climbing Bayesian network structure learning algorithm.
- Published in:
- Machine Learning, 2006, v. 65, n. 1, p. 31, doi. 10.1007/s10994-006-6889-7
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- Publication type:
- Article
8
Learning decomposable markov networks in pseudo-independent domains with local evaluation.
- Published in:
- Machine Learning, 2006, v. 65, n. 1, p. 199, doi. 10.1007/s10994-006-8366-8
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- Publication type:
- Article
9
Cost curves: An improved method for visualizing classifier performance.
- Published in:
- Machine Learning, 2006, v. 65, n. 1, p. 95, doi. 10.1007/s10994-006-8199-5
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- Publication type:
- Article
10
An analysis of diversity measures.
- Published in:
- Machine Learning, 2006, v. 65, n. 1, p. 247, doi. 10.1007/s10994-006-9449-2
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- Publication type:
- Article
11
Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming.
- Published in:
- Machine Learning, 2006, v. 65, n. 1, p. 167, doi. 10.1007/s10994-006-8365-9
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- Publication type:
- Article