MINENET
2006
ACM
14 years 1 months ago
2006
ACM
When failures occur in Internet overlay connections today, it is difficult for users to determine the root cause of failure. An overlay connection may require TCP connections bet...
SBACPAD
2006
IEEE
2006
IEEE
Scalable Parallel Implementation of Bayesian Network to Junction Tree Conversion for Exact Inference
14 years 1 months ago
We present a scalable parallel implementation for converting a Bayesian network to a junction tree, which can then be used for a complete parallel implementation for exact inferen...
MICAI
2007
Springer
14 years 1 months ago
2007
Springer
Previous work on context-specific independence in Bayesian networks is driven by a common goal, namely to represent the conditional probability tables in a most compact way. In th...
KES
2007
Springer
14 years 1 months ago
2007
Springer
According to widely accepted guidelines for self-regulation, the capital requirements of a bank should relate to the level of risk with respect to three different categories. Amon...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
ECSQARU
2007
Springer
14 years 1 months ago
2007
Springer
This paper presents a new approach to inference in Bayesian networks. The principal idea is to encode the network by logical sentences and to compile the resulting encoding into an...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
We discuss how to learn non-recursive directed probabilistic logical models from relational data. This problem has been tackled before by upgrading the structure-search algorithm i...
AI
2007
Springer
14 years 1 months ago
2007
Springer
When using Bayesian networks, practitioners often express constraints among variables by conditioning a common child node to induce the desired distribution. For example, an ‘or...
SBACPAD
2007
IEEE
14 years 1 months ago
2007
IEEE
We present node level primitives for parallel exact inference on an arbitrary Bayesian network. We explore the probability representation on each node of Bayesian networks and eac...
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
— Intention recognition is an important topic in human-robot cooperation that can be tackled using probabilistic model-based methods. A popular instance of such methods are Bayes...