Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
We show that a simple, memory-based technique for appearance-based face recognition, motivated by the realworld task of visitor identification, can outperform more sophisticated a...
Terence Sim, Rahul Sukthankar, Matthew D. Mullin, ...
This material was presented in a series of lectures at fosad, a summer school on Foundations of Security Analysis and Design, at the University of Bologna Center at Bertinoro in Se...
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
We stress the importance of requirements engineering (RE) for the development of large scale software in general and for GIS-applications in particular. RE analyses the problem do...