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BMCBI
2010
109views more  BMCBI 2010»
13 years 9 months ago
Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression
Background: In the last decade, biochemical studies have revealed that epigenetic modifications including histone modifications, histone variants and DNA methylation form a comple...
Xiaojiang Xu, Stephen Hoang, Marty W. Mayo, Stefan...
IJAR
2008
161views more  IJAR 2008»
13 years 9 months ago
Bayesian learning for a class of priors with prescribed marginals
We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
Hermann Held, Thomas Augustin, Elmar Kriegler
JUCS
2008
118views more  JUCS 2008»
13 years 9 months ago
Enhancements of Meeting Information Management and Application for Knowledge Access and Learning Activities
: Communication processes have become increasingly important in modern working life. Organizations invest a surprisingly high amount of financial resources and employee work time i...
Christian Gütl
WWW
2009
ACM
14 years 10 months ago
Learning to recognize reliable users and content in social media with coupled mutual reinforcement
Community Question Answering (CQA) has emerged as a popular forum for users to pose questions for other users to answer. Over the last few years, CQA portals such as Naver and Yah...
Jiang Bian, Yandong Liu, Ding Zhou, Eugene Agichte...
FSKD
2007
Springer
98views Fuzzy Logic» more  FSKD 2007»
14 years 3 months ago
Learning Selective Averaged One-Dependence Estimators for Probability Estimation
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
Qing Wang, Chuan-hua Zhou, Jiankui Guo