152 search results - page 7 / 31 » Training neural networks with noisy data as an ill-posed pro... |
ICANN
2011
Springer
12 years 11 months ago
2011
Springer
Abstract. In many supervised learning tasks it can be costly or infeasible to obtain objective, reliable labels. We may, however, be able to obtain a large number of subjective, po...
ICANN
1997
Springer
13 years 11 months ago
1997
Springer
Abstract. Stimulus4ependent changes have been observed in the correlations between the spike trains of simultaneously-recorded pairs of neurons from the auditory cortex of marmoset...
VLSISP
2002
13 years 7 months ago
2002
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
ISM
2005
IEEE
14 years 1 months ago
2005
IEEE
In this paper, a neural network based framework for semantic event detection in soccer videos is proposed. The framework provides a robust solution for soccer goal event detection...
IJPRAI
1998
13 years 7 months ago
1998
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...