The method of conjugate gradients provides a very effective way to optimize large, deterministic systems by gradient descent. In its standard form, however, it is not amenable to ...
Weighted transition systems are defined, parametrized by a commutative monoid of weights. These systems are further understood as coalgebras for functors of a specific form. A gene...
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
This paper introduces a new general methodology for the modeling and reliability evaluation of small isolated power systems, which include wind turbines, photovoltaics, and diesel ...
Yiannis A. Katsigiannis, Pavlos S. Georgilakis, Ge...
Performance of DNA sequencing-by-synthesis systems is fundamentally limited by the stochastic nature of the underlying biochemical process. We develop a novel graphical representa...