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Probabilistic Similarity Networks

In this blend of formal theory and practical application, Heckerman develops methods for building normative expert systems - expert systems;

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Probabilistic Networks and Expert Systems

Probabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains, while;

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Computational Learning And Probabilistic Reasoning

techniques for solving some important problems in machine intelligence and pattern recognition, namely probabilistic reasoning and computational;

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Probabilistic Reasoning in Multiagent Systems

in multiple cooperative agents, and effective, exact and distributed probabilistic inference.;

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Probabilistic Reasoning in Multiagent Systems

in multiple cooperative agents, and effective, exact and distributed probabilistic inference.;

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Probabilistic models for computer networks

Probabilistic models for computer networks: Tools and solved problems overviews the main probabilistic tools and theory used in the;

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Expert Systems and Probabilistic Network Models

Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods;

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Probabilistic Reliability Analysis of Power Systems: A Student's Introduction

methods used in reliability modelling of power system components, small systems and large systems. It also presents the benefits of probabilistic;

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Probabilistic Reliability Analysis of Power Systems

methods used in reliability modelling of power system components, small systems and large systems. It also presents the benefits of probabilistic;

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Bayesian Inverse Problems

Gain a fundamental understanding of the use of probabilistic methods and reliability analysis techniques in engineering applications;

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Artificial Intelligence and Expert Systems

engineering, expert systems, neural networks, and fuzzy logic, etc. The book has been structured into five parts with an emphasis on expert systems;

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Algorithms and Architectures

of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design;

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Probabilistic Methods for Bioinformatics

> Rather than getting bogged down in proofs and algorithms, probabilistic methods used for biological information and Bayesian networks are;

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Multiscale and probabilistic modelling of micro electromechanical systems

Multiscale and probabilistic modelling of micro electromechanical systems;

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Structural Information and Communication Complexity

systems, communication complexity, fault tolerant graph theories, and randomizedprobabilistic issues in networks.;

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Network Reliability and Algebraic Structures

Networks of computer systems, distribution systems, and telecommunication systems play an increasingly important role in our lives. This;

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Bayesian Artificial Intelligence

probabilistic expert systems. Web Resource The book's website at www.csse.monash.edu.au/bai/book/book.html offers a variety of supplemental materials;

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Bayesian Artificial Intelligence

these technologies to develop probabilistic expert systems. Web Resource The book's website at www.csse.monash.edu.au/bai/book/book.html;

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Engineering Risk and Hazard Assessment

, probabilistic risk analysis, and expert systems for fault detection. This volume will provide the reader not only with valuable conceptual and;

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Engineering Risk and Hazard Assessment

, probabilistic risk analysis, and expert systems for fault detection. This volume will provide the reader not only with valuable conceptual and;

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Fuzzy Expert Systems

. Fuzzy Expert Systems focuses primarily on the theory of fuzzy expert systems and their applications in science and engineering. In doing so, it;

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Randomly Deployed Wireless Sensor Networks

Deployed Wireless Sensor Networks offers a probabilistic method to model and analyze these networks. The book considers the network design;

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Structural Information and Communication Complexity

This book constitutes the thoroughly refereed proceedings of the 24th International Colloquium on Structural Information and Communication;

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Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems

networks and methods as a probabilistic formalism for the management of the learner model in adaptive hypermedia. It specifically discusses;

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Probabilistic Reasoning in Intelligent Systems

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational;

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Algorithms For Analysis, Inference, And Control Of Boolean Networks

attractors in a BN, and control of a BN. This book also presents algorithmic results on fundamental computational problems on probabilistic Boolean;

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Open Semantic Technologies for Intelligent System

representation and reasoning, semantic networks, natural language processing, temporal reasoning, probabilistic reasoning, multi-agent systems;

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