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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It is the first book that addresses a range of important topics related to the work of teacher educators, the induction of ...
Continue readingThis book written by international experts in the field of educational innovation is a guide for universities to become world-class ...
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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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Learn to use the jOOQ library to manage SQL database operations in Java and JVM applications. This book walks you through ...
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The book presents objections to the most common response given by contemporary legal and political theorists to the moral ...
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This edited collection of articles illustrates more recent work on beliefs about SLA, drawing on the thinking of (educational) ...
Continue readingDuring the transition from school to work, important groundwork is laid that prepares the further course of a person's life. ...
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There is surprisingly little known about affect in science education. Despite periodic forays into monitoring students’ ...
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The edited and peer reviewed volume presents selected papers of the conference "Beyond knowlegde: the legacy of competence" ...
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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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This book sheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features legal, ...
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This book constitutes the proceedings of the 9th International Conference on Big Data, BigData 2020, held as part of SCF ...
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Manipulating and processing masses of digital data is never a purely technical activity. It requires an interpretative and ...
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The book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making ...
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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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