53 search results - page 1 / 11 » Privacy-preserving Bayesian network structure computation on... |
DMIN
2006
13 years 8 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
2004
ACM
14 years 7 months ago
2004
ACM
PPSN
2004
Springer
14 years 24 days ago
2004
Springer
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
IPPS
1998
IEEE
13 years 11 months ago
1998
IEEE
A major difficulty of heterogeneous process migration is how to collect advanced dynamic data-structures, transform them into machine independent form, and restor them appropriate...
IJAR
2006
13 years 7 months ago
2006
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...