9 search results - page 1 / 2 » Batch-Sequential Algorithm for Neural Networks Trained with ... |
ICANN
2005
Springer
13 years 10 months ago
2005
Springer
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...
CCIA
2005
Springer
13 years 6 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...
ML
2000
ACM
13 years 4 months ago
2000
ACM
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
ICANN
2007
Springer
13 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...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...