116 search results - page 13 / 24 » Multiple fuzzy neural networks modeling with sparse data |
NPL
2006
13 years 8 months ago
2006
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
IJCINI
2007
13 years 8 months ago
2007
The Cognitive Processes of Abstraction and Formal Inferences J. A. Anderson: A Brain-Like Computer for Cognitive Software Applications: the Resatz Brain Project L. Flax: Cognitive ...
ESANN
2007
13 years 10 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
GECCO
2010
Springer
14 years 1 months ago
2010
Springer
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...