Add to ORKGSchleif F-M, Hasenfuss A, Hammer B. Aggregation of multiple peak lists by use of an improved neural gas network. Leipzig: Universität Leipzig; 2007
<p>Raw prediction results from 11 predictors first entered ranking system to give prediction for eac...
The article concerns the problem of classification based on independent data sets—local decision tab...
Part 2: AlgorithmsInternational audienceThe paper deals with the high dimensional data clustering pr...
Cottrell M, Hammer B, Hasenfuss A, Villmann T. Batch and Median Neural Gas. Neural Networks. 2006;19...
Schenck W. Ranking Methods for Neural Gas and NGPCA. Bielefeld: Computer Engineering Group, Faculty ...
Hammer B, Hasenfuss A, Schleif F-M, Villmann T. Supervised Batch Neural Gas. In: Schwenker F, ed. Pr...
Graph neural networks (GNNs) regularize classical neural networks by exploiting the underlying irreg...
The aim of the thesis is to examine and analyze different aggregation algorithms to the forecasts o...
The Neural network ensembles are the most effective approach to improve the neural network system. T...
AbstractEnsembles of artificial neural networks show improved generalization capabilities that outpe...
Rapport de contrat.This report deals with a set of "artificial neural network mapping experiments". ...
Decker R. Growing Neural Gas-like Networks and their Application to Data Analysis and Clustering in ...
Regularization is an essential technique to improve generalization of neural networks. Traditionally...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
This paper describes our investigation into the neural gas (NG) network algorithm and the hierarchic...
<p>Raw prediction results from 11 predictors first entered ranking system to give prediction for eac...
The article concerns the problem of classification based on independent data sets—local decision tab...
Part 2: AlgorithmsInternational audienceThe paper deals with the high dimensional data clustering pr...
Cottrell M, Hammer B, Hasenfuss A, Villmann T. Batch and Median Neural Gas. Neural Networks. 2006;19...
Schenck W. Ranking Methods for Neural Gas and NGPCA. Bielefeld: Computer Engineering Group, Faculty ...
Hammer B, Hasenfuss A, Schleif F-M, Villmann T. Supervised Batch Neural Gas. In: Schwenker F, ed. Pr...
Graph neural networks (GNNs) regularize classical neural networks by exploiting the underlying irreg...
The aim of the thesis is to examine and analyze different aggregation algorithms to the forecasts o...
The Neural network ensembles are the most effective approach to improve the neural network system. T...
AbstractEnsembles of artificial neural networks show improved generalization capabilities that outpe...
Rapport de contrat.This report deals with a set of "artificial neural network mapping experiments". ...
Decker R. Growing Neural Gas-like Networks and their Application to Data Analysis and Clustering in ...
Regularization is an essential technique to improve generalization of neural networks. Traditionally...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
This paper describes our investigation into the neural gas (NG) network algorithm and the hierarchic...
<p>Raw prediction results from 11 predictors first entered ranking system to give prediction for eac...
The article concerns the problem of classification based on independent data sets—local decision tab...
Part 2: AlgorithmsInternational audienceThe paper deals with the high dimensional data clustering pr...