In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...
The size of the Web and its increase rate made it cumbersome to locate high precision results to a requested piece of information. The Semantic Web provides a framework and a set ...
In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itse...
: The available evidence in a legacy software system, which can help in its understanding and recovery of its architecture are not always sufficient. Very often the system's d...
Clustering is the process of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. Practical clust...