JMLR
2010
12 years 11 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 4 months ago
2008
Abstract--This paper presents a distributed expectation
DMIN
2006
13 years 5 months 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
13 years 8 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...