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...
Understanding the relationship between queueing delays and link utilization for general traffic conditions is an important open problem in networking research. Difficulties in unde...
We present a discretionary access control framework that can be used to control a principal’s ability to link information from two or more audit records and compromise a user’...
Abstract. This paper presents an architecture that enables the recognizer to learn incrementally and, thereby adapt to document image collections for performance improvement. We ar...
Traditionally, instruction-set simulators (ISS’s) are sequential programs running on individual processors. Besides the advances of simulation techniques, ISS’s have been main...