705 search results - page 17 / 141 » Neural voting machines |
145
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MCS
2000
Springer
15 years 5 months ago
2000
Springer
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
117
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WSCG
2004
15 years 3 months ago
2004
Motor imagery electroencephalography (EEG), which embodies cortical potentials during mental simulation of left or right finger lifting tasks, can be used as neural input signals ...
106
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IJCAI
1997
15 years 3 months ago
1997
This paper presents an algorithm for extract ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
116
Voted
3DPVT
2004
IEEE
15 years 5 months ago
2004
IEEE
This paper proposes the use of neural network ensembles to boost the performance of a neural network based surface reconstruction algorithm. Ensemble is a very popular and powerfu...
111
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NN
2007
Springer
15 years 1 months ago
2007
Springer
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...