Data Fusion and Perception [Paperback]

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.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.Springer Book Archives