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» Winner-take-all selection in a neural system with delayed fe...
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NN
2002
Springer
208views Neural Networks» more  NN 2002»
15 years 5 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
ICTAI
2000
IEEE
15 years 10 months ago
Designing a learning-automata-based controller for client/server systems: a methodology
Abstract— Polling policies have been introduced to simplify the accessing process in client/server systems by a centralized control access scheme. This paper considers a client/s...
Georgios I. Papadimitriou, Athena Vakali, Andreas ...
HYBRID
2007
Springer
15 years 10 months ago
On Self-triggered Full-Information H-Infinity Controllers
Abstract. A self-triggered control task is one in which the task determines its next release time. It has been conjectured that self-triggering can relax the requirements on a real...
Michael D. Lemmon, Thidapat Chantem, Xiaobo Sharon...
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
15 years 10 months ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...
ATAL
2005
Springer
15 years 11 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson