17 search results - page 1 / 4 » Mean Field Inference in Dependency Networks: An Empirical St... |
AAAI
2011
12 years 4 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
CORR
2004
Springer
13 years 4 months ago
2004
Springer
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...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
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...
TSE
1998
13 years 4 months ago
1998
—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...
WWW
2010
ACM
13 years 11 months ago
2010
ACM
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...