Mohamed Wahbi Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems
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DisCSP (Distributed Constraint Satisfaction Problem) is a general framework for solving distributed problems arising in Distributed Artificial Intelligence. A wide variety of problems in artificial intelligence are solved using the constraint satisfaction problem paradigm. However, there are
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Advanced Algorithms and Data Structures
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Illustrated Algorithms and Data Structures
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Fayez Gebali Algorithms and Parallel Computing
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There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the
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Causal Inference: Foundations and Learning Algorithms
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Information Theory, Inference and Learning Algorithms
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Claudio Oleari Standard Colorimetry
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Colour is a sensation and as such it is a subjective and incommunicable quantity. Colour measurement is possible because we can create a correspondence between colour sensations and the light radiations that stimulate them. This correspondence concerns the physics of light radiation, the physiology
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Labiod Houda Vehicular Networks. Models and Algorithms
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Over the last few years vehicular networks have been receiving a lot of attention from academia, industry, standardization bodies, and the various transportation agencies and departments of many governments around the world. It is envisaged in the next decade that the Intelligent Transportation
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Carsten Steger Machine Vision Algorithms and Applications
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The second edition of this successful machine vision textbook is completely updated, revised and expanded by 15% to reflect the developments of recent years in the fields of image acquisition, machine vision algorithms and applications. The new content includes, but is not limited to, a discussion
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Группа авторов Machine Learning Algorithms and Applications
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Группа авторов Machine Learning Algorithms and Applications
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Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of
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Группа авторов Nature-Inspired Algorithms and Applications
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The purpose of designing this book is to portray certain practical applications of nature-inspired computation in machine learning for the better understanding of the world around us. The focus is to portray and present recent developments in the areas where nature- inspired algorithms are
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