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IJAR
2008
83views more  IJAR 2008»
15 years 6 months ago
Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Credal nets appear to be power...
Alessandro Antonucci, Marco Zaffalon
EDBTW
2006
Springer
15 years 10 months ago
Context Consistency Management Using Ontology Based Model
Abstract. Inconsistent contexts are death-wounds which usually result in contextaware applications' incongruous behaviors and users' perplexed feelings, therefore the ben...
Yingyi Bu, Shaxun Chen, Jun Li, XianPing Tao, Jian...
GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
16 years 1 months ago
A chain-model genetic algorithm for Bayesian network structure learning
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]....
Ratiba Kabli, Frank Herrmann, John McCall
NETWORKING
2004
15 years 8 months ago
Distributed Algorithm for Service Replication in Service Overlay Network
The service overlay network (SON) is an effective mean to deploy end-to-end QoS guaranteed content delivery services on the current Internet. We model the content delivery service ...
Kevin Y. K. Liu, John C. S. Lui, Zhi-Li Zhang
ALIFE
2008
15 years 6 months ago
Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data
The development of structure-learning algorithms for gene regulatory networks depends heavily on the availability of synthetic data sets that contain both the original network and ...
Koenraad Van Leemput, Tim Van den Bulcke, Thomas D...