Abstract. We study the problem of predictive data mining in the competitive multi-agent setting, in which each agent is assumed to have some partial knowledge needed for correctly ...
A key problem in multi-agent systems research is identifying appropriate techniques to facilitate effective cooperation between agents. In this paper, we investigate the efficacy o...
Process as a Service (PaaS) addresses modeling, execution and management of business processes without running extensive and costly process management software. Such a flexible o...
We consider the origin of the high-dimensional input space as a variable which can be optimized before or during neuronal learning. This set of variables acts as a translation on ...
Daniel Remondini, Nathan Intrator, Gastone C. Cast...
Mechanistic models for transcriptional regulation are derived using the methods of equilibrium statistical mechanics, to model equilibrating processes that occur at a fast time sc...