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PE
2010
Springer
170views Optimization» more  PE 2010»
13 years 3 months ago
Approximating passage time distributions in queueing models by Bayesian expansion
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
Giuliano Casale
ESWA
2006
103views more  ESWA 2006»
13 years 5 months ago
Model gene network by semi-fixed Bayesian network
Gene networks describe functional pathways in a given cell or tissue, representing processes such as metabolism, gene expression regulation, and protein or RNA transport. Thus, le...
Tie-Fei Liu, Wing-Kin Sung, Ankush Mittal
SQJ
2008
116views more  SQJ 2008»
13 years 5 months ago
E-commerce system quality assessment using a model based on ISO 9126 and Belief Networks
: As business transitions into the new economy, e-system successful use has become a strategic goal. Especially in business to consumer (e-commerce) applications, users highly eval...
Antonia Stefani, Michalis Nik Xenos
ICMLA
2009
13 years 3 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
AIME
2001
Springer
13 years 10 months ago
NasoNet, Joining Bayesian Networks and Time to Model Nasopharyngeal Cancer Spread
Abstract. Cancer spread is a non-deterministic dynamic process. As a consequence, the design of an assistant system for the diagnosis and prognosis of the extent of a cancer should...
Severino F. Galán, Francisco Aguado, Franci...