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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. |