The 2-volume set LNCS 12242 and 12243 constitutes the refereed proceedings of the 7th International Conference on Augmented ...
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This book constitutes the proceeding of the 28th International Conference on Automated Deduction, CADE 28, held virtually ...
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This book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions ...
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This book constitutes the refereed proceedings of the 18th International Symposium on Automated Technology for Verification ...
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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 ...
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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Enterprise Modelling (EM) methods are frequently used by entrepreneurs as an analysis tool for describing and redesigning ...
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This book constitutes the refereed proceedings of the International Workshop on Autonomous Intelligent Systems: Agents and ...
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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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This monograph summarizes our current knowledge about pigeon homing, about the birds' application of a sun compass and a ...
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This Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
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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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Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies ...
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Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable ...
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Presents the latest discoveries in the field of machine intelligence and big data Proposes many case studies and applications ...
Lire la suiteThis book presents how cutting-edge digital technologies like Machine Learning, Artificial Intelligence (AI), and Blockchain ...
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