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Hybrid Strategies for Improving Bayesian Networks

. This book will show extensions for the improvement of Bayesian networks, presenting strategies to improve its properties, treating aspects such;

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Quality of Service in Optical Packet Switched Networks

This book is a comprehensive study on OPS networks, its architectures, and developed techniques for improving its quality of switching and;

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Bayesian Artificial Intelligence

. Adopting a causal interpretation of Bayesian networks, the authors discuss the use of Bayesian networks for causal modeling. They also draw on;

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Bayesian Artificial Intelligence

. Adopting a causal interpretation of Bayesian networks, the authors discuss the use of Bayesian networks for causal modeling. They also draw on;

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Hybrid Random Fields

of Bayesian networks and Markov random fields, the newly introduced hybrid random fields are an interesting approach to get the best of both these;

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Bayesian Networks

Bayesian networks with other modelling techniques such as neural networks, fuzzy logic and fault trees. Describes, for ease of comparison, the main;

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Modeling and Reasoning with Bayesian Networks

discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design;

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Modeling and Reasoning with Bayesian Networks

discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design;

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Probabilistic Methods for Bioinformatics

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability;

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Advanced Methodologies for Bayesian Networks

This volume constitutes the refereed proceedings of the Second International Workshop on Advanced Methodologies for Bayesian Networks;

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Emerging Transactive Energy Technology for Future Modern Energy Networks

Emerging Transactive Energy Technology for the Future Modern Energy Networks looks at the importance of transactive energy technology;

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Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems

knowing anything about the learner who uses the system, a system would behave in exactly the same way for all learners. Bayesian Networks for;

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Hybrid Self-Organizing Modeling Systems

Models form the basis of any decision. They are used in di?erent context and for di?erent purposes: for identi?cation, prediction, classi;

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Development of Clinical Decision Support Systems using Bayesian Networks

For the development of clinical decision support systems based on Bayesian networks, Mario A. Cypko investigates comprehensive expert;

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Development of Two Hybrid Classification Methods for Machine Learning

In this work two studies are done and they are referred as first study which is named "A Hybrid Classification Method Using Bayesian, K;

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Bayesian Networks

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Bayesian Networks for Reliability Engineering

This book presents a bibliographical review of the use of Bayesian networks in reliability over the last decade. Bayesian network (BN;

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Bayesian Inference for Gene Expression and Proteomics

reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery;

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Bayesian Inference For Gene Expression And Proteomics

reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery;

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Probabilistic Graphical Models

. The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and;

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Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks

of variability involved. The fully Bayesian approach also allows the most appropriate values for additional model parameters to be selected automatically;

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Hybrid Systems and Multi-energy Networks for the Future Energy Internet

Hybrid Systems and Multi-energy Networks for the Future Energy Internet provides the general concepts of hybrid systems and multi;

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Millimeter-Wave Communication Systems

leads to abundant network design insights and guidelines. Under this framework, we design low-complexity hybrid precoding algorithms for;

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Bayesian Networks and Decision Graphs

This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical;

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Bayesian Networks Handbook

A Bayesian network is also known as a Bayes network, belief network or causal probabilistic network. Bayesian belief networks are effective;

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Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high;

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Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high;

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