This collection covers the state of the art in automatic differentiation theory and practice. Practitioners and students ...
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This work, a tribute to renowned researcher Robert Paige, is a collection of revised papers published in his honor in the ...
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Computer science will be radically transformed if ongoing efforts to build large-scale quantum computers eventually succeed ...
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Computer science will be radically transformed if ongoing efforts to build large-scale quantum computers eventually succeed ...
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This book brings together leading academic researchers and industrial practitioners to address the issues in this emerging ...
Lire la suiteSearching in a large database of videos is one of the challenges faced by the user today as most of the results are inaccurate ...
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This book constitutes the refereed proceedings of the Third International Conference on Autonomic and Trusted Computing, ...
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MAS offiers powerful metaphors for information system conceptualization, a range of new techniques, and technologies specifically ...
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MAS offiers powerful metaphors for information system conceptualization, a range of new techniques, and technologies specifically ...
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This book deals with the theoretical and methodological aspects of incorporating intelligence in Autonomous Robots and Agents. ...
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The International Workshop on "Autonomous Systems - Self-Organization, Management, and Control " is the eighth in a successful ...
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The contents of this book builds further on the contents of the first volume in the Philips Research Book Series, Battery ...
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R's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...
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Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. ...
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Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. ...
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Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The ...
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Stats with an introduction to AI, where you’ll learn the history of neural networks and what sets deep learning apart from ...
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Teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big ...
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There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve ...
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Combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts ...
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