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CONIELECOMP
2006
IEEE
14 years 3 months ago
Chaotic Time Series Approximation Using Iterative Wavelet-Networks
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
E. S. Garcia-Trevino, Vicente Alarcón Aquin...
SENSYS
2006
ACM
14 years 3 months ago
Using grid technologies to optimise a wireless sensor network for flood management
Danny Hughes, Phil Greenwood, Barry Porter, Paul G...
BROADNETS
2006
IEEE
14 years 1 months ago
Next Generation Optical Access Networks
David Gutierrez, Wei-tao Shaw, Fu-Tai An, Yu-Li Hs...
ECML
2006
Springer
14 years 29 days ago
Bayesian Learning of Markov Network Structure
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na
Aleks Jakulin, Irina Rish
PERCOM
2006
ACM
14 years 8 months ago
Learning in a Large-Scale Pervasive Environment
Débora Nice Ferrari Barbosa, Iara Augustin,...