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» Tempering for Bayesian C

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BMCBI
2011

220views Artificial Intelligence» more BMCBI 2011»

Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets

13 years 2 months ago

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Background: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phen...

Kyle C. Chipman, Ambuj K. Singh

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EDM
2010

165views Data Mining» more EDM 2010»

Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems

13 years 9 months ago

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A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a ...

John C. Stamper, Tiffany Barnes, Marvin J. Croy

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ML
2000
ACM

154views Machine Learning» more ML 2000»

Lazy Learning of Bayesian Rules

13 years 7 months ago

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The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...

Zijian Zheng, Geoffrey I. Webb

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ICIP
1997
IEEE

100views Image Processing» more ICIP 1997»

Continuous Label Bayesian Segmentation, Applications to Medical Brain Images

14 years 9 months ago

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Lars Aurdal, Isabelle Bloch, Henri Maître, C...

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