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ESANN
2008
14 years 11 months ago
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...
ISNN
2004
Springer
15 years 3 months ago
Binary Input Encoding Strategy Based Neural Network for Globulin Protein Inter-residue Contacts Map Prediction
Abstract. Inter-residue contacts map prediction is one of the most important intermediate steps to the protein folding problem. In this paper, we focus on protein inter-residue con...
Guang-Zheng Zhang, De-Shuang Huang, Xin Huang
BSN
2011
IEEE
233views Sensor Networks» more  BSN 2011»
13 years 9 months ago
Compressive Sensing of Neural Action Potentials Using a Learned Union of Supports
—Wireless neural recording systems are subject to stringent power consumption constraints to support long-term recordings and to allow for implantation inside the brain. In this ...
Zainul Charbiwala, Vaibhav Karkare, Sarah Gibson, ...
NIPS
1992
14 years 10 months ago
Network Structuring and Training Using Rule-Based Knowledge
We demonstrate in this paper how certain forms of rule-based knowledge can be used to prestructure a neural network of normalized basis functions and give a probabilistic interpre...
Volker Tresp, Jürgen Hollatz, Subutai Ahmad
COLT
1994
Springer
15 years 1 months ago
Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes
We examine the relationship between the VCdimension and the number of parameters of a smoothly parametrized function class. We show that the VC-dimension of such a function class ...
Wee Sun Lee, Peter L. Bartlett, Robert C. Williams...