705 search results - page 96 / 141 » Neural voting machines |
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— Handling catastrophic forgetting is an interesting and challenging topic in modeling the memory mechanisms of the human brain using machine learning models. From a more general...
ICANN
2005
Springer
14 years 2 months ago
2005
Springer
Two recently proposed approaches to recognize temporal patterns have been proposed by J¨ager with the so called Echo State Network (ESN) and by Maass with the so called Liquid Sta...
IWANN
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...