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» Parallel Distributed Belief Networks
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AMAI
2004
Springer
15 years 5 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
CDC
2009
IEEE
135views Control Systems» more  CDC 2009»
15 years 4 months ago
Trust Estimation in autonomic networks: a statistical mechanics approach
— Trust management, broadly intended as the ability to maintain belief relationship among entities, is recognized as a fundamental security challenge for autonomous and selforgan...
Stefano Ermon, Luca Schenato, Sandro Zampieri
UAI
2001
15 years 1 months ago
Aggregating Learned Probabilistic Beliefs
We consider the task of aggregating beliefs of several experts. We assume that these beliefs are represented as probability distributions. We argue that the evaluation of any aggr...
Pedrito Maynard-Reid II, Urszula Chajewska
ECSQARU
2003
Springer
15 years 5 months ago
Computational-Workload Based Binarization and Partition of Qualitative Markov Trees for Belief Combination
Abstract. Binary join trees have been a popular structure to compute the impact of multiple belief functions initially assigned to nodes of trees or networks. Shenoy has proposed t...
Weiru Liu, Xin Hong, Kenneth Adamson