Data Fusion and Perception
Samenvatting
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.
Specificaties
Inhoudsopgave
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.

