In this paper we introduce the idea of integrating high security level services to support law enforcement with high-tech crime investigation. We take advantage of a process-orien...
Cezary Mazurek, Maciej Stroinski, Dariusz Walczak,...
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
We have assembled a preliminary environment for simulating tasks that are performed in colonoscopy to provide a professional learning experience. Different commercial endoscopy si...
Simon Wildermuth, Cynthia Bruyns, Kevin Montgomery...
RADAR is a multiagent system with a mixed-initiative user interface designed to help office workers cope with email overload. RADAR agents observe experts to learn models of their...
Aaron Steinfeld, Andrew Faulring, Asim Smailagic, ...
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...