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.