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FEGC
2008
84views Biometrics» more  FEGC 2008»
13 years 9 months ago
Structure Inference of Bayesian Networks from Data: A New Approach Based on Generalized Conditional Entropy
We propose a novel algorithm for extracting the structure of a Bayesian network from a dataset. Our approach is based on generalized conditional entropies, a parametric family of e...
Dan A. Simovici, Saaid Baraty
AIED
2005
Springer
14 years 1 months ago
Inferring learning and attitudes from a Bayesian Network of log file data
A student's goals and attitudes while interacting with a tutor are typically unseen and unknowable. However their outward behavior (e.g. problem-solving time, mistakes and hel...
Ivon Arroyo, Beverly Park Woolf
WWW
2010
ACM
14 years 2 months ago
Inferring relevant social networks from interpersonal communication
Researchers increasingly use electronic communication data to construct and study large social networks, effectively inferring unobserved ties (e.g. i is connected to j) from obs...
Munmun De Choudhury, Winter A. Mason, Jake M. Hofm...
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
13 years 9 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi
BMCBI
2006
84views more  BMCBI 2006»
13 years 7 months ago
Inferring topology from clustering coefficients in protein-protein interaction networks
Background: Although protein-protein interaction networks determined with high-throughput methods are incomplete, they are commonly used to infer the topology of the complete inte...
Caroline C. Friedel, Ralf Zimmer