This work is a collection of front-end research papers on data fusion and perceptions. Authors are leading European experts of Artificial Intelligence, Mathematical Statistics and/or Machine Learning. Area overlaps with "Intelligent Data Analysis", which aims to unscramble latent structures in collected data: Statistical Learning, Model Selection, Information Fusion, Soccer Robots, Fuzzy Quantifiers, Emotions and Artifacts.
This work is a collection of front-end research papers on data fusion and perceptions. Authors are leading European experts of Artificial Intelligence, Mathematical Statistics and/or Machine Learning. Area overlaps with "Intelligent Data Analysis", which aims to unscramble latent structures in collected data: Statistical Learning, Model Selection, Information Fusion, Soccer Robots, Fuzzy Quantifiers, Emotions and Artifacts.
Produktdetails
Produktdetails
CISM Courses and Lectures, International Centre for Mechanical Sciences 431
Artikelnr. des Verlages: 10862894, 978-3-211-83683-5
2001
Seitenzahl: 264
Erscheinungstermin: 6. Februar 2002
Englisch
Abmessung: 244mm x 170mm x 15mm
Gewicht: 450g
ISBN-13: 9783211836835
ISBN-10: 3211836837
Artikelnr.: 10611443
Autorenporträt
Prof. Dr. Rudolf Kruse ist Leiter des Lehrstuhls für Neuro-Fuzzy-Systeme an der Universität Magdeburg.
Inhaltsangabe
Preface;Session I - Learning and Space Structures: Statistical Learning and Kernel Methods; A Combined Bayes - Maximum Likelihood Method for Regression.-Session II - Data Fusion I: Possibility Theory in Information Fusion; Information Fusion in Neuro-Fuzzy Systems; Qualitative Aggregation of Bayesian Networks; Classification and Fusion; On Information Fusion in the Life-Sciences; Fusion of Image Information under Imprecision and Uncertainty: Numerical Methods.-Session III - Emotions and Perceptions: Facets of Emotions in Humans and Artifacts.-Session IV - Data Fusion II: The Soul of a New Machine: the Soccer Team of the FU-Berlin; Fuzzy Quantifiers: a Linguistic Technique for Data Fusion; Transformation of Attribute Space by Function Decomposition.-List of Participants.
Preface;Session I - Learning and Space Structures: Statistical Learning and Kernel Methods; A Combined Bayes - Maximum Likelihood Method for Regression.-Session II - Data Fusion I: Possibility Theory in Information Fusion; Information Fusion in Neuro-Fuzzy Systems; Qualitative Aggregation of Bayesian Networks; Classification and Fusion; On Information Fusion in the Life-Sciences; Fusion of Image Information under Imprecision and Uncertainty: Numerical Methods.-Session III - Emotions and Perceptions: Facets of Emotions in Humans and Artifacts.-Session IV - Data Fusion II: The Soul of a New Machine: the Soccer Team of the FU-Berlin; Fuzzy Quantifiers: a Linguistic Technique for Data Fusion; Transformation of Attribute Space by Function Decomposition.-List of Participants.
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