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Project: A thorough analysis of similarity measures for learning from heterogeneous data sources

01-OCT-07 – 30-SEP-09

In this project we will investigate the use of similarity measures for machine learning from heterogeneous data sources. A special class of similarity measures are the kernel methods, which will be thoroughly analysed. This project aims to stimulate the development of new information systems, allowing the richness of current data sources to be used more efficiently.