JMLR
2010
13 years 5 months ago
2010
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
TNN
2008
13 years 10 months ago
2008
Abstract--This paper presents a distributed expectation
DMIN
2006
14 years 9 days ago
2006
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
KDD
1998
ACM
14 years 3 months ago
1998
ACM
For a wide variety of classification algorithms, scalability to large databases can be achieved by observing that most algorithms are driven by a set of sufficient statistics that...