2868 search results - page 344 / 574 » Inference in Bayesian Networks |
144
Voted
JMLR
2010
15 years 28 days ago
2010
Interest in multioutput kernel methods is increasing, whether under the guise of multitask learning, multisensor networks or structured output data. From the Gaussian process pers...
151
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KDD
2003
ACM
16 years 6 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
198
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BMCBI
2010
15 years 6 months ago
2010
nd: Gene regulatory network is an abstract mapping of gene regulations in living cells that can help to predict the system behavior of living organisms. Such prediction capability...
176
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SDM
2008
SIAM
15 years 7 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
187
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BMCBI
2008
15 years 6 months ago
2008
Background: Integrating data from multiple global assays and curated databases is essential to understand the spatiotemporal interactions within cells. Different experiments measu...