Abstract. We deal with two important problems in pattern recognition that arise in the analysis of large datasets. While most feature subset selection methods use statistical techn...
A number of problems in computer science can be solved efficiently with the so called memory based or kernel methods. Among this problems (relevant to the AI community) are multime...
Research in bioinformatics and computational biology relies heavily on algorithms that facilitate the understanding of biological processes through the application of statistical ...
This paper presents a Q-learning based scheme for managing the partial coverage problem and the ill effects of free riding in unstructured P2P networks. Based on various parameter ...
Predicting visual search behavior in human-computer interaction is a challenging problem. It is important for predictive modeling of human-computer interaction to integrate the vi...