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104
Voted
CSB
2004
IEEE
112views Bioinformatics» more  CSB 2004»
15 years 7 months ago
Inferring Genetic Networks from Microarray Data
In theory, it should be possible to infer realistic genetic networks from time series microarray data. In practice, however, network discovery has proved problematic. The three ma...
Shawn Martin, George Davidson, Elebeoba E. May, Je...
ADCM
2000
45views more  ADCM 2000»
15 years 3 months ago
Training neural networks with noisy data as an ill-posed problem
This paper is devoted to the analysis of network approximation in the framework of approximation and regularization theory. It is shown that training neural networks and similar n...
Martin Burger, Heinz W. Engl
122
Voted
IPL
1998
80views more  IPL 1998»
15 years 3 months ago
The Economics of Large-Memory Computations
We propose, and justify, an economic theory to guide memory system design, operation, and analysis. Our theory treats memory random-access latency, and its cost per installed mega...
Clark D. Thomborson
116
Voted
CONIELECOMP
2006
IEEE
15 years 9 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...
127
Voted
ICIP
2002
IEEE
16 years 5 months ago
Robust and efficient scalable video coding with leaky prediction
This paper presents a robust scalable video coding scheme with leaky prediction, suitable for time-varying error-prone channels, such as the Internet or wireless channels. The pro...
Sangeun Han, Bernd Girod