This paper presents an information theoretic perspective on design and analysis of evolutionary algorithms. Indicators of solution quality are developed and applied not only to in...
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
: In this paper, our aim is to propose a model that helps in the efficient use of an information system by users, within the organization represented by the IS, in order to resolve...
This paper considers learner misconceptions information which is presented to the learner in an open learner model. We suggest that specific information about misconceptions may be...
This paper describes a method to enhance the performance ofa unification-style bottom-up chart parser by means oftop-down filtering techniques. The filter developed consists of a s...