319 search results - page 41 / 64 » Learning Equivalence Classes of Bayesian Network Structures |
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
GC
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. Structured peer-to-peer overlay networks are a class of algorithms that provide efficient message routing for distributed applications using a sparsely connected communic...
ISORC
2000
IEEE
15 years 1 months ago
2000
IEEE
This paper documents progress to date on a research project, the goal of which is wartime event prediction. The paper describes the operational concept, the datamining environment...
90
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
108
Voted
AI
2010
Springer
14 years 9 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...