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» On the Computational Power of Neural Nets
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ESANN
2003
13 years 8 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
DAC
2002
ACM
14 years 8 months ago
Petri net modeling of gate and interconnect delays for power estimation
In this paper, a new type of Petri net called Hierarchical Colored Hardware Petri net, to model real-delay switching activity for power estimation is proposed. The logic circuit i...
Ashok K. Murugavel, N. Ranganathan
ISCAS
2006
IEEE
129views Hardware» more  ISCAS 2006»
14 years 1 months ago
Computing during supply voltage switching in DVS enabled real-time processors
In recent times, much attention has been devoted to power optimization for real-time systems, while guaranteeing that such systems meet their hard (or soft) scheduling deadlines. ...
Chunjie Duan, Sunil P. Khatri
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
14 years 7 months ago
Model compression
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...
COLING
2002
13 years 7 months ago
Selforganizing Classification on the Reuters News Corpus
In this paper we propose an integration of a selforganizing map and semantic networks from WordNet for a text classification task using the new Reuters news corpus. This neural mo...
Stefan Wermter, Chihli Hung