Atmospheric scientists need to observe fluctuations in the ionosphere, both to probe the underlying atmospheric physics, and to remove the effects of these fluctuations from other...
Tim Tuan, Miguel Figueroa, Frank Lind, Chucai Zhou...
This paper describes a novel network model, which is able to control its growth on the basis of the approximation requests. Two classes of self-tuning neural models are considered...
A. Carlevarino, R. Martinotti, Giorgio Metta, Giul...
Developing a functional prototype of a system-on-chip provides a unifying vehicle for model validation and system refinement. Keeping the prototype executable everal abstraction l...
Alexandre Chureau, Yvon Savaria, El Mostapha Aboul...
In this paper, we propose a multi-criteriabased active learning approach and effectively apply it to named entity recognition. Active learning targets to minimize the human annota...
Dan Shen, Jie Zhang, Jian Su, Guodong Zhou, Chew L...
Systems that learn from examples often express the learned concept in the form of a disjunctive description. Disjuncts that correctly classify few training examples are known as s...