TY  - GEN
AU  - Ahmed Rebai
TI  - Bayesian Network (E-Book)
PY  - 2010///
CY  - India
PB  - Sciyo
KW  - (E-Book)
N1  - parameters and structure of Bayesian networks using an Implicit framework (Page-1) Design of evolutionary methods applied to the learning of Bayesian network structures (Page-13) Probabilistic inferences in Bayesian networks (Page-39) Advanced algorithms of Bayesian network learning and inference from inconsistent prior knowledge and sparse data with applications in computational biology and computer vision (Page-53) Group decision making using Bayesian network inference with qualitative expert knowledge (Page-79) Forming object concept using Bayesian network (Page-91) Guiding complex design optimization using Bayesian Networks (Page-109) Method of multi-source testing information  usion based on Bayesian networks (Page-135) Dynamic data feed to Bayesian network model and smile web application (Page-155) A novel probabilistic approach for analysis and planning of large capillarity broadband networks based on ADSL2+ technology (Page-245) Optimization strategies for improving the interpretability of Bayesian networks: an application in power systems (Page-265) Strategy for Wireless Local Area Networks Planning and Performance Evaluation through Bayesian networks as Computational Intelligence Approach (Page-279) Causal modeling based on Bayesian networks for preliminary design of buildings (Page-293) Bayesian networks methods for traffic flow prediction (Page-317) Accommodating uncertainty in grazing land condition assessment using Bayesian Belief Networks (Page-341) Classification of categorical and numerical data on selected subset of features (Page-355)
ER  -