Abstract. Mobile agent systems provide new perspectives for distributed e-commerce applications. These applications may present specific restrictions, making mobile agent systems ...
Guillermo Navarro, Jose A. Ortega-Ruiz, Joan Ametl...
We consider resource allocation for elastic wireless applications that measure utility by target connection average throughput and achieved throughput. We construct a framework for...
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Automating the construction of semantic grammars is a di cult and interesting problem for machine learning. This paper shows how the semantic-grammar acquisition problem can be vi...
— In this paper, we propose a new supervised learning method whereby information is controlled by the associated cost in an intermediate layer, and in an output layer, errors bet...