منابع مشابه
Counting Markov Blanket Structures
Learning Markov blanket (MB) structures has proven useful in performing feature selection, learning Bayesian networks (BNs), and discovering causal relationships. We present a formula for efficiently determining the number of MB structures given a target variable and a set of other variables. As expected, the number of MB structures grows exponentially. However, we show quantitatively that ther...
متن کاملRestoration of blanket peatlands.
There is concern that ecosystem services provided by blanket peatlands have come under threat due to increasing degradation. Blanket peatlands are subject to a wide range of drivers of degradation and are topographically variable. As a result, many degradation forms can develop, including those resulting from eroding artificial drainage, incising gullies and areas of bare peat. Many degraded bl...
متن کاملBayesian Markov Blanket Estimation
This paper considers a Bayesian view for estimating a sub-network in a Markov random field. The sub-network corresponds to the Markov blanket of a set of query variables, where the set of potential neighbours here is big. We factorize the posterior such that the Markov blanket is conditionally independent of the network of the potential neighbours. By exploiting this blockwise decoupling, we de...
متن کاملProgress on Dcll Blanket Concept
General Atomics, PO Box 85608, San Diego, California 92186-5608, [email protected] University of California Los Angeles, Los Angeles, California 90095-1597 Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831 Pacific Northwest National Laboratory, Richland, Washington 99352 University of Wisconsin Madison, Wisconsin 53706 Idaho National Laboratory, Idaho Falls, Idaho 83515 Ultramet Inc....
متن کاملInference in Markov Blanket Networks
Bayesian networks have been successfully used to model joint probabilities in many cases. When dealing with continuous variables and nonlinear relationships neural networks can be used to model conditional densities as part of a Bayesian network. However, doing inference can then be com-putationally expensive. Also, information is implicitly passed backwards through neural networks, i.e. from t...
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ژورنال
عنوان ژورنال: Nature
سال: 1994
ISSN: 0028-0836,1476-4687
DOI: 10.1038/372214d0