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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»
13 years 7 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
13 years 12 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
13 years 11 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»
14 years 2 days 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
14 years 1 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