Abstract. The classical perceptron algorithm is an elementary algorithm for solving a homogeneous linear inequality system Ax > 0, with many important applications in learning t...
Alexandre Belloni, Robert M. Freund, Santosh Vempa...
This paper proposes to use cognitive multi-agent based simulation to facilitate human team formation decision processes. The models of organizational actors are acquired by a data...
In this paper, we develop a unified theory in analyzing optimal switch box design problems, particularly for the unsolved irregular cases, where different pin counts are allowed on...
Abstract. We discuss the design of an agent for coaching collaborative learning in a distance learning context. The learning domain is entity-relationship modeling, a domain in whi...
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...