In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Spatial relations are the basis for many selections users perform when they query geographic information systems (GISs). Although such query languages use natural-language-like te...
A. Rashid B. M. Shariff, Max J. Egenhofer, David M...
We propose conditions in which an autonomous agent could arise, and increase in complexity. It is assumed that on the primitive Earth there arose a recycling flow-reactor containi...
A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...
Most simple and complex cells in the cat striate cortex are both orientation and direction selective. In this paper we use single cell learning rules to develop both orientation a...