We study the evaluation of opinion retrieval systems. Opinion retrieval is a relatively new research area, nevertheless classical evaluation measures, those adopted for ad hoc ret...
Giambattista Amati, Giuseppe Amodeo, Valerio Capoz...
At present time configurable wireless sensor networks are given special consideration. Wireless sensor networks are now a static elements union. To make such a network a powerful ...
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...