Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...
Range searches in metric spaces can be very di cult if the space is \high dimensional", i.e. when the histogram of distances has a large mean and a small variance. The so-cal...
Shoreline mapping and shoreline change detection are critical in many coastal zone applications. This paper presents results of the semi-automatic mapping of a coastal area of Lak...
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
This research approaches the issues of introducing ICTs (Information and Communication Technologies) into Small and Medium Enterprises, with the aim of finding some conditions tha...