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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 Probabilistic Programming

What does a probabilistic program actually compute? How can one formally reason about such probabilistic programs? This valuable guide;

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Inductive Logic Programming

. The papers cover the following topics: propositionalization, logical foundations, implementations, probabilistic ILP, applications in robotics;

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Practical Probabilistic Programming

the future! Probabilistic programming is a programming paradigm in which code models are used to draw probabilistic inferences from data. By;

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Inductive Logic Programming

; logical foundations; statistical relational learning; probabilistic ILP; implementation and scalability; applications in robotics, cyber security;

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Redundancy in Semidefinite Programming

inequality constraints. It discusses both probabilistic and deterministic methods. The first probabilistic method, called the semidefinite-stand-hit;

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Probabilistic Methods in Geotechnical Engineering

lectures on modelling of soil variability, simulation of random field, probabilistic of rock joints, and probabilistic design of foundations and;

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Lectures on Stochastic Programming

(probabilistic) constraints, including the structure of the problems, optimality theory, and duality; and statistical inference in and risk-averse;

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Foundations of the Formal Sciences VI: Probabilistic Reasoning and Reasoning with Probabilities

Probabilistic methods are increasingly becoming an important tool in a variety of disciplines including computer science, mathematics;

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Foundations of Software Science and Computation Structures

: semantics of programming languages; categorical models and logics; concurrent, probabilistic and timed systems; automata, games, verification;

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Foundations of Measurement Volume II: Geometrical, Threshold, and Probabilistic Representationsvolume 2

. Volume II extends the subject in the direction of geometrical, threshold, and probabilistic representations, and Volume III examines;

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Bayesian Programming

probability as an alternative to Boolean logic, Bayesian Programming covers new methods to build probabilistic programs for real-world applications;

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Bayesian Programming

probability as an alternative to Boolean logic, Bayesian Programming covers new methods to build probabilistic programs for real-world applications;

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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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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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Foundations and Methods of Stochastic Simulation

This graduate-level textbook covers modelling, programming and analysis of stochastic computer simul;...

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Foundations and Methods of Stochastic Simulation

This graduate-level textbook covers modelling, programming and analysis of stochastic computer simul;...

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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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Practical Foundations for Programming Languages

"This book offers a fresh perspective on the fundamentals of programming languages through the use o;...

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Laws of Chaos

theoretical framework for the foundations of political economy. It relies on probabilistic and statistical methods of the kind used in the modern;

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Programming Languages and Systems

design; probabilistic programming; types and effects; concurrency; security; program verification; program analysis and automated verification;

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Knowledge Representation Reasoning & The

-intensive software systems capable of performing intelligent tasks. Using logical and probabilistic formalisms based on answer set programming (ASP;

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Logic Programming

Includes tutorials, lectures, and refereed papers on all aspects of logic programming, The Joint Int;...

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Beyond Quantum

to the analysis of the probabilistic structure of quantum theory, probing the limits of classical probabilistic representation of quantum;

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Stochastic Optimization

including financial modeling, risk management, and probabilistic risk analysis. Major topics in this volume include: (1) advances in theory and;

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Cambridge Studies in Probability, Induction and Decision Theory

foundations of probability. Part II contains seven articles on probabilistic causality and quantum mechanics, with an emphasis on the existence;

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Cambridge Studies in Probability, Induction and Decision Theory

foundations of probability. Part II contains seven articles on probabilistic causality and quantum mechanics, with an emphasis on the existence;

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