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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 and Influence Diagrams

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition, provides a comprehensive guide for;

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Bayesian Decision Analysis

contains basic material on subjective probability theory and multi-attribute utility theory, event and decision trees, Bayesian networks, influence;

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Probabilistic Graphical Models

of Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random fields, influence diagrams;

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Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems

Managing Learner Models in Adaptive Hypermedia Systems: Emerging Research and Opportunities is a collection of research on the use of Bayesian;

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Risk Assessment and Decision Analysis with Bayesian Networks

to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better;

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Bayesian Artificial Intelligence

Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main;

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Bayesian Artificial Intelligence

Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main;

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Probabilistic Graphical Models

, highlighting the many uses of Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random;

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Probabilistic Graphical Models

, highlighting the many uses of Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random;

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Bayesian Networks

provides a general introduction to Bayesian networks, defining and illustrating the basic concepts with pedagogical examples and twenty real-life;

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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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Modeling and Reasoning with Bayesian Networks

This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive;

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Modeling and Reasoning with Bayesian Networks

This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive;

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Bayesian Networks Handbook

. This book analytically and comprehensively describes various aspects of Bayesian networks which will be of great help to students, researchers;

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Advanced Methodologies for Bayesian Networks

reviewed and selected from numerous submissions. In the International Workshop on Advanced Methodologies for Bayesian Networks (AMBN), the;

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Development of Clinical Decision Support Systems using Bayesian Networks

: in modeling and validation of workflows, guided modeling, semi-automated modeling, advanced Bayesian networks, model-user interaction, inter;

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Bayesian Networks

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Hybrid Strategies for Improving Bayesian Networks

knowledge discovery process. Bayesian networks, however, like any computational intelligence technique, presents limitations and disadvantages;

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Bayesian Models

statistically coherent way. This textbook provides a comprehensive and accessible introduction to the latest Bayesian methods--in language ecologists;

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Value Of Information In The Earth Sciences

trees and influence diagrams, as well as models for continuous and discrete dependent spatial variables, including Bayesian networks, Markov;

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Bayesian Inference for Gene Expression and Proteomics

molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical;

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Bayesian Inference For Gene Expression And Proteomics

molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical;

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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 Inverse Problems

. Understand Bayesian methods including filtering techniques, Bayesian networks, etc., and their use in engineering systems analysis. Learn to;

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Bayesian Networks An Introduction

Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic;

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Machine Learning

Machine Learning: A Bayesian and Optimization Perspective, 2nd edition, gives a unified perspective on machine learning by;

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