— The computational understanding of continuous human movement plays a significant role in diverse emergent applications in areas ranging from human computer interaction to phys...
—The development of theoretical-based methods for the assessment of multi-agent systems properties is of critical importance. This work investigates methodologies for modeling, a...
Jose R. Celaya, Alan A. Desrochers, Robert J. Grav...
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
The cellular industry all over the world has been witnessing very high growth rates in subscriber base in recent years. For developing countries in particular, cellular services a...
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...