559 search results - page 16 / 112 » Neural methods for non-standard data |
IJCNN
2000
IEEE
15 years 1 months ago
2000
IEEE
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stres...
CIARP
2009
Springer
15 years 2 months ago
2009
Springer
Abstract. In this work we propose a new method to create neural network ensembles. Our methodology develops over the conventional technique of bagging, where multiple classifiers ...
ICDAR
2003
IEEE
15 years 2 months ago
2003
IEEE
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
ESANN
2004
14 years 11 months ago
2004
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
NCA
2007
IEEE
14 years 9 months ago
2007
IEEE
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...