Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...
Abstract. As the information technology grows interests in the intrusion detection system (IDS), which detects unauthorized usage, misuse by a local user and modification of impor...
In this paper we propose a distributed approach to construct vicinity resource maps at each node in a delaytolerant network. The scheme uses recent encounters to estimate the avail...
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
With the increasing ubiquity of sensors and computational resources, it is becoming easier and increasingly common for people to electronically record, photographs, text, audio, a...