950 search results - page 147 / 190 » Training a Quantum Neural Network |
145
Voted
IROS
2008
IEEE
15 years 10 months ago
2008
IEEE
— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...
87
Voted
IWANN
2007
Springer
15 years 9 months ago
2007
Springer
In this work, a two-dimensional (2-D) representation of the hourly solar radiation data is proposed. The model enables accurate forecasting using image prediction methods. One year...
159
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MLDM
2007
Springer
15 years 9 months ago
2007
Springer
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
162
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ICANN
2007
Springer
15 years 7 months ago
2007
Springer
Within the taxonomy of feature extraction methods, recently the Wrapper approaches lost some popularity due to the associated computational burden, compared to Embedded or Filter m...
157
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PAKDD
2000
ACM
15 years 7 months ago
2000
ACM
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...