R's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...
Continue readingThis Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
Continue readingProbabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. ...
Continue readingProbabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. ...
Continue readingProbabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies ...
Continue readingBayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The ...
Continue readingThis volume includes all the contributions mainly related with theoretical, conceptual and methodological aspects linking ...
Continue readingThis volume includes all the contributions mainly related with theoretical, conceptual and methodological aspects linking ...
Continue readingThis book brings together a collection of classic research papers on the Dempster-Shafer theory of belief functions. By bridging ...
Continue readingThe two volume set LNAI 3801 and LNAI 3802 constitute the refereed proceedings of the annual International Conference on ...
Continue readingThe papers are organized in topical sections on recognition, statistical models and visual learning, 3D reconstruction and ...
Continue readingThis was the second time that a satellite workshop,solely devoted to medical image analysis issues, was held in conjunction ...
Continue readingConditionals are fascinating and versatile objects of knowledge representation. On the one hand, they may express rules in ...
Continue readingThis book presents contemporary empirical methods in software engineering related to the plurality of research methodologies, ...
Continue readingThe book presented address all current issues of artificial intelligence ranging from methodological and foundational aspects ...
Continue readingThe book presented address all current issues of artificial intelligence ranging from methodological and foundational aspects ...
Continue readingThis textbook's significant contribution is the unified derivation of data-assimilation techniques from a common fundamental ...
Continue readingThis book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery (DM&KD). ...
Continue readingData Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and ...
Continue readingThis book constitutes the thoroughly refereed post-proceedings of the International Workshop on Defence Applications of Multi-Agent ...
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