In this paper we present a technique for prediction of electrical demand based on multiple models. The multiple models are composed by several local models, each one describing a r...
J. Jesus Rico Melgoza, Juan J. Flores, Constantino...
Facial feature tracking is a crucial and challenging task in computer vision. Recently online-learning methods have become increasingly popular on account of their strong ability ...
Because of the increasingly diverse and dynamic environments in which they must operate, modern middleware platforms need to explicitly support modifiability. Modifiability should...
Abstract. The Agent Modeling Language (AML) is a semi-formal visual modeling language, specified as an extension to UML 2.0. It is a consistent set of modeling constructs designed...
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...