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