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» Feature selection with neural networks
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ISNN
2007
Springer
16 years 14 days ago
Extensions of Manifold Learning Algorithms in Kernel Feature Space
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
Yaoliang Yu, Peng Guan, Liming Zhang
OL
2011
277views Neural Networks» more  OL 2011»
15 years 1 months ago
An exact algorithm for minimum CDS with shortest path constraint in wireless networks
In this paper, we study a minimum Connected Dominating Set problem (CDS) in wireless networks, which selects a minimum CDS with property that all intermediate nodes inside every pa...
Ling Ding, Xiaofeng Gao, Weili Wu, Wonjun Lee, Xu ...
IJCAI
2007
15 years 7 months ago
A Cortex-Inspired Neural-Symbolic Network for Knowledge Representation
Semantic systems for the representation of declarative knowledge are usually unconnected to neurobiological mechanisms in the brain. In this paper we report on efforts to bridge t...
Florian Röhrbein, Julian Eggert, Edgar Kö...
ESANN
2003
15 years 7 months ago
Fast approximation of the bootstrap for model selection
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...
Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Mi...
FLAIRS
2010
15 years 8 months ago
CsMTL MLP For WEKA: Neural Network Learning with Inductive Transfer
We present context-sensitive Multiple Task Learning, or csMTL as a method of inductive transfer. It uses additional contextual inputs along with other input features when learning ...
Liangliang Tu, Benjamin Fowler, Daniel L. Silver