Removal of rain streaks in video is a challenging problem due to the random spatial distribution and fast motion of rain. This paper presents a new rain removal algorithm that inc...
Resource scheduling in large-scale, volatile desktop grids is challenging because resource state is both dynamic and eclectic. Matching available resources with requests is not al...
Deger Cenk Erdil, Michael J. Lewis, Nael B. Abu-Gh...
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
In recent years, the gossip-based communication model in large-scale distributed systems has become a general paradigm with important applications which include information dissemi...
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...