85 search results - page 12 / 17 » Exploiting Causal Independence in Large Bayesian Networks |
UAI
2008
13 years 9 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
NIPS
2007
13 years 9 months ago
2007
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
JMLR
2002
13 years 7 months ago
2002
In this paper we prove the so-called "Meek Conjecture". In particular, we show that if a DAG H is an independence map of another DAG G, then there exists a finite sequen...
CISIS
2010
IEEE
2010
IEEE
Computational Grid as an Appropriate Infrastructure for Ultra Large Scale Software Intensive Systems
14 years 2 months ago
—Ultra large scale (ULS) systems are future software intensive systems that have billions of lines of code, composed of heterogeneous, changing, inconsistent and independent elem...
KDD
2000
ACM
13 years 11 months ago
2000
ACM
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...