As we face the real possibility of modelling agent systems capable of non-deterministic self-evolution, we are confronted with the problem of having several different possible futu...
RoboCup Challenge offers a set of challenges for intelligent agent researchers using a friendly competition in a dynamic, real-time, multiagent domain. While RoboCup in general en...
Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela...
Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) techniques are important and well-developed area of image recognition and to date many linear discriminati...
Linear Discriminant Analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
From the 1990s on, one of the most important challenges facing computer science researchers has been the design and construction of software tools to exploit Internet computing. A...