For many problems there is only suf£cient prior information for a Bayesian decision maker to identify a class of possible prior distributions. In such cases it is of interest to ...
Given a task T , a pool of individuals X with different skills, and a social network G that captures the compatibility among these individuals, we study the problem of finding X ,...
Rough set theory has been primarily known as a mathematical approach for analysis of a vague description of objects. This paper explores the use of rough set theory to manage the ...
This paper describes the first version of P (read “P flat”), a collection of Prolog predicates that aims to provide a pedagogical implementation of concepts and algorithms t...
In this paper, we explore how to effectively create and use "instant mesh networks", i.e., wireless mesh networks that are dynamically deployed in temporary circumstances...
Bo Xing, Mayur Deshpande, Sharad Mehrotra, Nalini ...