248 search results - page 15 / 50 » Adapting RBF Neural Networks to Multi-Instance Learning |
96
Voted
NN
2006
Springer
15 years 1 months ago
2006
Springer
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
142
Voted
EUSFLAT
2009
14 years 11 months ago
2009
The paper proposed to use recurrent Fuzzy-Neural Multi-Model (FNMM) identifier for decentralized identification of a distributed parameter anaerobic wastewater treatment digestion ...
128
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ANNPR
2008
Springer
15 years 3 months 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...
116
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IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
131
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ICANN
2005
Springer
15 years 7 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...