In this paper we propose a financial trading system whose strategy is developed by means of an artificial neural network approach based on a recurrent reinforcement learning algo...
We propose a sequence-alignment based method for detecting and disambiguating coordinate conjunctions. In this method, averaged perceptron learning is used to adapt the substituti...
This paper presents a specification-based approach for systematic testing of products from a software product line. Our approach uses specifications given as formulas in Alloy, a ...
Engin Uzuncaova, Daniel Garcia, Sarfraz Khurshid, ...
This paper proposes a MANET/VANET based group communication system, P2Pnet, to support the communication and information demand for mobile group users such as rescue teams in cata...
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...