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