Information extraction systems have been dealt with at length from the viewpoint of users posing definite questions whose expected answer is to be found in a document collection. T...
In this paper we compare performance of several heuristics in generating informative generic/query-oriented extracts for newspaper articles in order to learn how topic prominence ...
Abstract. Several methods were proposed to reduce the number of instances (vectors) in the learning set. Some of them extract only bad vectors while others try to remove as many in...
In this paper, an agent is defined as a triple (S, RS, LS), where S is a multi-hierarchical decision system, RS is a set of rules extracted from S defining values of its decision a...
In this paper, we describe our research in computer-aided image analysis. We have incorporated machine learning methodologies with traditional image processing to perform unsuperv...