Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
To improve the accuracy in terms of precision and recall of an audio information retrieval system we have created a domainspecific ontology (a collection of key concepts and their...
For social science researchers, content analysis and classification of United States Congressional legislative activities has been time consuming and costly. The Library of Congre...
Background: The task of computing highly accurate structural alignments of proteins in very short computation time is still challenging. This is partly due to the complexity of pr...