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» Monotonicity in Bayesian Networks
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EKAW
2006
Springer
13 years 10 months ago
Iterative Bayesian Network Implementation by Using Annotated Association Rules
Abstract. This paper concerns the iterative implementation of a knowledge model in a data mining context. Our approach relies on coupling a Bayesian network design with an associat...
Clément Fauré, Sylvie Delprat, Jean-...
ATAL
2008
Springer
13 years 8 months ago
Efficient approximate inference in distributed Bayesian networks for MAS-based sensor interpretation
The multiply sectioned Bayesian network (MSBN) framework is the most studied approach for distributed Bayesian Network inference in an MAS setting. This paper describes a new fram...
Norman Carver
SNPD
2008
13 years 8 months ago
Dynamic Data Feed to Bayesian Network Model and SMILE Web Application
A complete diagnostic Bayesian network model cannot be achieved and the result of the constructed model cannot be guaranteed unless correct and reliable data are provided to the m...
Nipat Jongsawat, Pittaya Poompuang, Wichian Premch...
AAAI
2006
13 years 8 months ago
Performing Incremental Bayesian Inference by Dynamic Model Counting
The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...
Wei Li 0002, Peter van Beek, Pascal Poupart
PAMI
2006
147views more  PAMI 2006»
13 years 6 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani