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JCB
2007
198views more  JCB 2007»
14 years 9 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
90
Voted
CORR
2004
Springer
133views Education» more  CORR 2004»
14 years 9 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman
83
Voted
ESWS
2007
Springer
14 years 11 months ago
SWHi System Description: A Case Study in Information Retrieval, Inference, and Visualization in the Semantic Web
Abstract. Search engines have become the most popular tools for finding information on the Internet. A real-world Semantic Web application can benefit from this by combining its ...
Ismail Fahmi, Junte Zhang, Henk Ellermann, Gosse B...
BMCBI
2008
122views more  BMCBI 2008»
14 years 9 months ago
Reconstructing networks of pathways via significance analysis of their intersections
Background: Significance analysis at single gene level may suffer from the limited number of samples and experimental noise that can severely limit the power of the chosen statist...
Mirko Francesconi, Daniel Remondini, Nicola Nerett...
ACL
2008
14 years 11 months ago
Inferring Activity Time in News through Event Modeling
Many applications in NLP, such as questionanswering and summarization, either require or would greatly benefit from the knowledge of when an event occurred. Creating an effective ...
Vladimir Eidelman