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Paperback. Zustand: Brand New. 2013 edition. 428 pages. 9.20x6.10x0.96 inches. In Stock.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 20013, held in Madrid, Spain, in September 2013. The 27 revised full papers presented were carefully selected from 66 submissions. The papers are organized in topical sections on Constraints, search and planning, intelligent Web and information retrieval, fuzzy systems, knowledge representation, reasoning and logic, machine learning, multiagent systems, multidisciplinary topics and applications, metaheuristics, uncertainty in artificial intelligence.…

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Paperback. Zustand: Brand New. 143 pages. 9.26x6.11x0.31 inches. In Stock.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of theThird International Workshop on Explainable Artificial Intelligence in Healthcare, XAI-Healthcare 2023, and the First International Workshop on Process Mining Applications for Healthcare, PM4H 2023, which took place in conjunction with AIME 2023 inPortoroz, Slovenia, on June 15, 2023.The 7 full papers included from XAI-Healthcare were carefully reviewed and selected from 11 submissions. They focus on all aspects of eXplainable Artificial Intelligence (XAI) in the medical and healthcare field. For PM4H 5 papers have been accepted from 17 submissions. They deal with data-driven process analysis techniques in healthcare.…

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Taschenbuch. Zustand: Neu. Advances in Artificial Intelligence | 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, Madrid, September 17-20, 2013, Proceedings | Concha Bielza (u. a.) | Taschenbuch | xviii | Englisch | 2013 | Springer | EAN 9783642406423 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Hardcover. Zustand: new. Hardcover. Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with point processes (complete spatial randomness and cluster, regular and Gibbs processes). Cellular, structural, functional, medical and behavioral neuroscience levels are considered. Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-depth guide to statistical and machine learning methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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