In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
This paper intends to introduce the development of a terminal agent for QoS measurement that is suitable for an NGN environment, and to summarize the results of its performance tes...
ChinChol Kim, SangChul Shin, Sang Yong Ha, SunYoun...
Vehicle tracking data is an essential “raw” material for a broad range of applications such as traffic management and control, routing, and navigation. An important issue with...
In this paper we discuss utility functions models to study Radio Resource Management. Our goal is to identify the characteristics of the wireless systems which make such theoretic...