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Probability and statistics / Measurement / Bayesian network / Networks / Probability theory / Mutual information / Correlation and dependence / Machine learning / Random variable / Statistics / Statistical models / Graphical models


Learning Bayesian Network Structure from Correlation-Immune Data Eric Lantz Computer Sciences Dept. University of Wisconsin-Madison
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Document Date: 2007-08-15 11:57:24


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Madison / Murthy / /

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Norton / Microsoft / /

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Informatics Dept. Oregon State University University of Wisconsin-Madison Corvallis / University of Wisconsin-Madison Madison / /

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possible networks / machine learning algorithms / tree induction algorithms / greedy tree learning algorithms / search step / greedy search / search technique / layered search / search operators / greedy tree learning algorithm / structure search / regulatory networks / candidate networks / network structure learning algorithms / exhaustive search / search space / search algorithm / probabilistic networks / search keeps / search phase / /

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Soumya Ray David Page School of Electrical Engineering Computer Sciences Dept. and Computer Science Biostat / National Science Foundation / Oregon State University University of Wisconsin / University of Wisconsin / /

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Eric Bach / Eric Lantz / /

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Wisconsin / South Carolina / S. K. / Oregon / /

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Current Opinion / Machine Learning / /

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cryptography / machine learning algorithms / 2 3 4 5 6 7 8 9 10 Algorithm / artificial intelligence / search algorithm / gene expression / Sparse Candidate algorithm / so Bayesian network structure learning algorithms / Machine Learning / SC algorithm / tree induction algorithms / greedy tree learning algorithm / greedy tree learning algorithms / two algorithms / /

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