370 search results - page 48 / 74 » TRUST-TECH Based Neural Network Training |
162
Voted
FSKD
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
137
Voted
ICANN
2007
Springer
15 years 11 months ago
2007
Springer
Finding the largest linearly separable set of examples for a given Boolean function is a NP-hard problem, that is relevant to neural network learning algorithms and to several prob...
138
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AIIA
2001
Springer
15 years 9 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...
121
Voted
IWANN
1999
Springer
15 years 9 months ago
1999
Springer
A new model which can recognize rotated, distorted, scaled, shifted and noised patterns is proposed. The model is constructed based on psychological experiments in a mental rotatio...
147
Voted
ICANN
2007
Springer
15 years 8 months ago
2007
Springer
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...