Abstract. The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all ...
This paper introduces a statistical model for query-relevant summarization: succinctly characterizing the relevance of a document to a query. Learning parameter values for the pro...
In this paper, we review five heuristic strategies for handling context-sensitive features in supervised machine learning from examples. We discuss two methods for recovering lost...
The poster introduces EXPLAIN, a project funded by the German Federal Ministry of Economy and Technology. The vision of EXPLAIN is to reduce efforts for content projects by means o...
Pavlina Chikova, Katrina Leyking, Peter Loos, Gunn...
— In this article we present results from experiments where a edge detector was learned from scratch by EANT2, a method for evolutionary reinforcement learning. The detector is c...