151 search results - page 8 / 31 » Structured Training for Neural Network Transition-Based Pars... |
ANNPR
2008
Springer
15 years 14 days ago
2008
Springer
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
APIN
2010
14 years 10 months ago
2010
Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
We propose a data structure that decreases complexity of unsupervised competitive learning algorithms which are based on the growing cells structures approach. The idea is based on...
102
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IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
GECCO
2003
Springer
15 years 3 months ago
2003
Springer
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...