This paper presents an adaptive algorithm for learning the user profile. The user profile is learned incrementally and continuously based on user’s initial profile, his actions ...
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Recently-developed techniques have improved the performance of production systems several times over. However, these techniques are not yet adequate for continuous problem solving...
We study the problem of finding frequent items in a continuous stream of itemsets. A new frequency measure is introduced, based on a flexible window length. For a given item, its ...
The popularity of distributed file systems continues to grow in last years. The reasons they are preferred over traditional centralized systems include fault tolerance, availabili...