A Chow-Liu tree is an efficient method for constructing a second-order product approximation of a joint distribution, first described in a paper by Chow & Liu (1968). The goals of such a decomposition, as with such Bayesian networks in general, may be either data compression or inference.
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| dbpprop:abstract
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- A Chow-Liu tree is an efficient method for constructing a second-order product approximation of a joint distribution, first described in a paper by Chow & Liu (1968). The goals of such a decomposition, as with such Bayesian networks in general, may be either data compression or inference.
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- An Accelerated Chow and Liu Algorithm: Fitting Tree Distributions to High-Dimensional Sparse Data
- Approximating discrete probability distributions with Bayesian networks
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- C. K.
- C. N.
- Jon
- Judea
- Marina
- T.
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- Huang
- King
- Williamson
- 2000 (xsd:integer)
- 2002 (xsd:integer)
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- Chow
- Liu
- Meilă
- Pearl
- Wagner
- 1968 (xsd:integer)
- 1973 (xsd:integer)
- 1988 (xsd:integer)
- 1999 (xsd:integer)
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- IEEE Transactions on Information Theory
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- Morgan Kaufman
- Morgan Kaufmann
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- Chow
- Liu
- Meilă
- Pearl
- Wagner
- Williamson
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- Approximating discrete probability distributions with dependence trees
- Consistency of an estimate of tree-dependent probability distribution
- Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
- Proceedings of the International Conference on Artificial Intelligence in Science and Technology
- Proceedings of the Sixteenth International Conference on Machine Learning
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- 1968 (xsd:integer)
- 1973 (xsd:integer)
- 1988 (xsd:integer)
- 1999 (xsd:integer)
- 2000 (xsd:integer)
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| rdfs:comment
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- A Chow-Liu tree is an efficient method for constructing a second-order product approximation of a joint distribution, first described in a paper by Chow & Liu (1968). The goals of such a decomposition, as with such Bayesian networks in general, may be either data compression or inference.
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