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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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Bayesian Networks for Reliability Engineering

methodologies, such as BN structure modeling, BN parameter modeling, BN inference, validation, and verification. As such, it is a valuable resource for;

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Modeling and Reasoning with Bayesian Networks

includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks;

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Modeling and Reasoning with Bayesian Networks

includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks;

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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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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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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

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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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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Handbook on Neural Information Processing

bioinformatics This book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced;

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Market Research and Modeling: Progress and Prospects

Marketing Research and Modeling addresses state of the art developments including new techniques and methodologies by leading experts;

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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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Essential Bayesian Models

of Statistics Series, with a focus on key methodologies and applications for Bayesian models and computation. It describes parametric and nonparametric;

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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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Probabilistic Graphical Models

different techniques Suggests possible course outlines for instructors This classroom-tested work is suitable as a textbook for an advanced;

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Probabilistic Graphical Models

different techniques Suggests possible course outlines for instructors This classroom-tested work is suitable as a textbook for an advanced;

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Advanced Computing Applications, Databases and Networks

surveys the major research areas of Advanced Computing Applications covering both the theoretical and applications issues, including Natural;

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Bayesian Networks

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Scenario Analysis in Risk Management: Theory and Practice in Finance

. The author also provides technical notes and describes applications and key characteristics for each of the solutions. In addition, the book;

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Advanced Informatics for Computing Research

This two-volume set (CCIS 1075 and CCIS 1076) constitutes the refereed proceedings of the Third International Conference on Advanced;

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Advanced Informatics for Computing Research

This two-volume set (CCIS 1075 and CCIS 1076) constitutes the refereed proceedings of the Third International Conference on Advanced;

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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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Statistics for Astrophysics

This book contains statistics courses on basic to advanced methods with practical exercises using the R environment, by leading experts;

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Current Trends in Bayesian Methodology with Applications

networking, fuzzy information, objective Bayesian methodologies, empirical Bayes methods, small area estimation, and many more topics. Each;

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Current Trends in Bayesian Methodology with Applications

networking, fuzzy information, objective Bayesian methodologies, empirical Bayes methods, small area estimation, and many more topics. Each;

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