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NIPS
2003
13 years 9 months ago
On the Concentration of Expectation and Approximate Inference in Layered Networks
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
XuanLong Nguyen, Michael I. Jordan
CSE
2009
IEEE
14 years 2 months ago
Inferring the Maximum Likelihood Hierarchy in Social Networks
—Individuals in social networks are often organized under some hierarchy such as a command structure. In many cases, when this structure is unknown, there is a need to discover h...
Arun S. Maiya, Tanya Y. Berger-Wolf
BMCBI
2006
125views more  BMCBI 2006»
13 years 7 months ago
Algebraic comparison of metabolic networks, phylogenetic inference, and metabolic innovation
Metabolic networks are naturally represented as directed hypergraphs in such a way that metabolites are nodes and enzyme-catalyzed reactions form (hyper)edges. The familiar operat...
Christian V. Forst, Christoph Flamm, Ivo L. Hofack...
UAI
2001
13 years 9 months ago
Exact Inference in Networks with Discrete Children of Continuous Parents
Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks (BNs). An important subclass of hybrid BNs are conditi...
Uri Lerner, Eran Segal, Daphne Koller
CORR
2004
Springer
133views Education» more  CORR 2004»
13 years 7 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