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AAAI
2011
7 years 8 months ago
Mean Field Inference in Dependency Networks: An Empirical Study
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
Daniel Lowd, Arash Shamaei
CORR
2004
Springer
133views Education» more  CORR 2004»
8 years 8 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
ICML
2003
IEEE
9 years 9 months ago
Link-based Classification
Over the past few years, a number of approximate inference algorithms for networked data have been put forth. We empirically compare the performance of three of the popular algori...
Qing Lu, Lise Getoor
TSE
1998
152views more  TSE 1998»
8 years 8 months ago
Communication and Organization: An Empirical Study of Discussion in Inspection Meetings
—This paper describes an empirical study that addresses the issue of communication among members of a software development organization. In particular, data was collected concern...
Carolyn B. Seaman, Victor R. Basili
WWW
2010
ACM
9 years 3 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...
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