Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
The context of the user queries, preceding a given query, is utilized to improve the effectiveness of query classification. Earlier efforts utilize fixed number of preceding queri...
Ad hoc networks are dynamic networks formed "on the fly" by a set of nodes. Achieving secure routing in such networks is a big challenge. Asymmetric signature schemes pr...
Raghav Bhaskar, Javier Herranz, Fabien Laguillaumi...
We study the problem of classifying data in a given taxonomy when classifications associated with multiple and/or partial paths are allowed. We introduce an incremental algorithm u...
We discuss the problem of concurrent error detection (CED) with bounded latency in finite state machines (FSMs). The objective of this approach is to reduce the overhead of CED, a...