641 search results - page 48 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
ILP
2005
Springer
15 years 3 months ago
2005
Springer
We introduce a novel method for relational learning with neural networks. The contributions of this paper are threefold. First, we introduce the concept of relational neural networ...
112
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ICANN
2011
Springer
14 years 1 months ago
2011
Springer
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
ICANN
2003
Springer
15 years 3 months ago
2003
Springer
We propose a simple method to map a generic threshold model, namely the Spike Response Model, to artificial data of neuronal activity using a minimal amount of a priori informatio...
IJON
2008
14 years 9 months ago
2008
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
101
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CCIA
2005
Springer
14 years 11 months ago
2005
Springer
Abstract. This paper presents a new feature selection method and an outliers detection algorithm. The presented method is based on using a genetic algorithm combined with a problem...