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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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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Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The ...
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This volume includes all the contributions mainly related with theoretical, conceptual and methodological aspects linking ...
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This volume includes all the contributions mainly related with theoretical, conceptual and methodological aspects linking ...
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This book brings together a collection of classic research papers on the Dempster-Shafer theory of belief functions. By bridging ...
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The two volume set LNAI 3801 and LNAI 3802 constitute the refereed proceedings of the annual International Conference on ...
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The papers are organized in topical sections on recognition, statistical models and visual learning, 3D reconstruction and ...
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This was the second time that a satellite workshop,solely devoted to medical image analysis issues, was held in conjunction ...
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Conditionals are fascinating and versatile objects of knowledge representation. On the one hand, they may express rules in ...
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This book presents contemporary empirical methods in software engineering related to the plurality of research methodologies, ...
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The book presented address all current issues of artificial intelligence ranging from methodological and foundational aspects ...
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The book presented address all current issues of artificial intelligence ranging from methodological and foundational aspects ...
اقرأ المزيدThis textbook's significant contribution is the unified derivation of data-assimilation techniques from a common fundamental ...
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This book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery (DM&KD). ...
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Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and ...
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This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Defence Applications of Multi-Agent ...
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