Due to the rapidly increasing availability of audio files on the Web, it is relevant to augment search engines with advanced audio search functionality. In this context, the rank...
Maria M. Ruxanda, Alexandros Nanopoulos, Christian...
This paper describes a system to support humanities scholars in their interpretation of literary work. It presents a user interface and web architecture that integrates text minin...
Catherine Plaisant, James Rose, Bei Yu, Loretta Au...
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...