374 search results - page 49 / 75 » Training the random neural network using quasi-Newton method... |
AIIA
2001
Springer
15 years 4 months ago
2001
Springer
This paper presents a novel method for wide coverage parsing using an incremental strategy, which is psycholinguistically motivated. A recursive neural network is trained on treeba...
125
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IJCNN
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
115
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ESEM
2007
ACM
15 years 3 months ago
2007
ACM
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
ICDAR
2009
IEEE
14 years 9 months ago
2009
IEEE
We propose a low cost method for the correction of the output of OCR engines through the use of human labor. The method employs an error estimator neural network that learns to as...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...