Supply chain optimisation is now a major research theme in process operations and management. A great deal of research has been undertaken on facility location and design, invento...
Sampling has become an important strategy for inference in belief networks. It can also be applied to the problem of selecting actions in influence diagrams. In this paper, we pre...
This paper extends a previous model where we examined the markets’ microstructure dynamics by using Genetic Programming as a trading rule inference engine, and Self Organizing Ma...
Michael Kampouridis, Shu-Heng Chen, Edward P. K. T...
Business to Government (B2G) e-commerce has increased manifold the opportunities available for entrepreneurs for global trade. The entrepreneurs can deal with businesses around th...
Aabhas V. Paliwal, Nabil R. Adam, Vijayalakshmi At...
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...