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112
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ESANN
2003
15 years 2 months ago
Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
Jianyu Li, Siwei Luo, Yingjian Qi
92
Voted
ISCAS
2003
IEEE
99views Hardware» more  ISCAS 2003»
15 years 6 months ago
New hyperbolic source density models for blind source recovery score functions
We present two new hyperbolic source probability models to effectively represent sub-gaussian and super-gaussian families of sources for dynamic and convolutive Blind Source Recov...
Khurram Waheed, Fathi M. Salem
108
Voted
FTDCS
2003
IEEE
15 years 6 months ago
Dynamic Component Composition for Functionality Adaptation in Pervasive Environments
With the increasing prevalence of mobile devices, computing is being carried out on devices with varied resource constraints and is afflicted by constant changes in run-time conte...
Nalini Moti Belaramani, Cho-Li Wang, Francis C. M....
123
Voted
BIOADIT
2004
Springer
15 years 6 months ago
A Hardware Implementation of a Network of Functional Spiking Neurons with Hebbian Learning
Abstract. In this paper we present a functional model of a spiking neuron intended for hardware implementation. Some features of biological spiking neuabstracted, while preserving ...
Andres Upegui, Carlos Andrés Peña-Re...
110
Voted
PODC
2005
ACM
15 years 6 months ago
Adaptive routing with stale information
We investigate the behaviour of load-adaptive rerouting policies in the Wardrop model where decisions must be made on the basis of stale information. In this model, an infinite n...
Simon Fischer, Berthold Vöcking