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Semantics of Probabilistic Processes

This book discusses the semantic foundations of concurrent systems with nondeterministic and probabilistic behaviour. Particular attention;

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Foundations of Probabilistic Logic Programming

thus represent an excellent candidate for the integration. Since its birth, the field of Probabilistic Logic Programming has seen a steady;

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Foundations of Software Science and Computational Structures

topics addressed are semantics, logics and automata, algebras, automata theory, processes and models, security, probabilistic and quantitative;

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Stochastic Causality

analysis of probabilistic data; others address causal issues in physics, with an emphasis on physical processes that are also probabilistic-i.e;

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Probabilistic Ranking Techniques in Relational Databases

ranking. Under the attribute-level uncertainty model, we describe new probabilistic ranking models and a set of query evaluation algorithms;

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Probabilistic Ranking Techniques in Relational Databases

ranking. Under the attribute-level uncertainty model, we describe new probabilistic ranking models and a set of query evaluation algorithms;

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Point Processes

This book describes the properties of stochastic probabilistic models and develops the applied mathematics of stochastic point processes;

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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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Graph Searching Games and Probabilistic Methods

probabilistic methods. The book explores various applications of these powerful mathematical tools to games and processes such as Cops and Robbers;

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Graph Searching Games and Probabilistic Methods

probabilistic methods. The book explores various applications of these powerful mathematical tools to games and processes such as Cops and Robbers;

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Risk-Neutral Valuation

This second edition - completely up to date with new exercises - provides a comprehensive and self-contained treatment of the probabilistic;

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Probabilistic Knowledge

cloudy, where this knowledge is not knowledge of propositions, but of probabilistic contents. The notion of probabilistic content introduced;

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Probabilistic Knowledge

cloudy, where this knowledge is not knowledge of propositions, but of probabilistic contents. The notion of probabilistic content introduced;

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Random Signals

This treatise develops the theory of random processes and its application to the study of systems and the analysis of random data. The text;

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Engineering Design Under Uncertainty and Health Prognostics

This book presents state-of-the-art probabilistic methods for the reliability analysis and design of engineering products and processes. It;

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Model Checking Software

system semantics, equivalence checking, temporal logics, probabilistic systems, schedule and strategy synthesis using model checking, and;

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Programming Languages and Systems

, synthesis and transformation; program analysis, verification, and model-checking; logic, constraint, probabilistic and quantum programming; software;

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ModelEd, TestEd, TrustEd

modeling languages and semantics, model-based testing, verification and performance analysis, probabilistic computation, system dynamics, and;

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Data-Driven Computational Neuroscience

book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification;

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Theoretic Syntax Semantics Pragmatics

perspective of Optimality Theory. It integrates optimization processes into the formal and functional study of grammar, interpreting optimization as;

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Optimality Theoretic Syntax, Semantics, and Pragmatics

perspective of Optimality Theory. It integrates optimization processes into the formal and functional study of grammar, interpreting optimization as;

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Query Processing over Uncertain Databases

uncertain data, and finally discuss the advanced query processing techniques for various probabilistic queries in uncertain databases. The book;

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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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Analyzing Data Through Probabilistic Modeling in Statistics

, planning and scheduling, data extrapolation in decision making, probabilistic interpolation and extrapolation in simulation, stochastic processes;

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Statistical Models in Earth Sciences

In this book, the author has given some introduction to the nature of complexities and processes within Earth Sciences and some of theses;

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Current Methods in Historical Semantics

processes. The volume systematises, reviews, and promotes a range of empirical research techniques and theoretical perspectives that currently;

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Countability in Natural Language

enrichments of classical extensional mereology with topological and temporal notions as well as with type theory and probabilistic models. The book;

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