This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
This paper introduces an approach for closer integration of selforganizing maps into the visualization of spatio-temporal phenomena in GIS. It is proposed to provide a more explic...
Whereas schools typically record mounds of data regarding student performance, attendance, and other behaviors over the course of a school year, rarely is that data consulted and ...
We present an approach to reconstructing chemical reaction networks from time series measurements of the concentrations of the molecules involved. Our solution strategy combines t...