In this paper we present an experimental study conducted in 802.11based mesh networks of three existing rate adaptation algorithms. The aim of this study is twofold. On the one ha...
We describe a framework for learning an object classifier from a single example. This goal is achieved by emphasizing the relevant dimensions for classification using available ex...
After retrieval, this simple strategy yield to an important improvement of the average precision: from 17.02 up to 35.80. Task II. Our approach is based on argumentative structurin...
— Stochastic activity networks (SANs) are a widely used formalism for describing complex systems that have random behavior. Sophisticated software tools exist for the modeling an...
David M. Nicol, Steve Hanna, Frank Stratton, Willi...
—Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future...