559 search results - page 3 / 112 » Neural methods for non-standard data |
JDCTA
2010
12 years 11 months ago
2010
Neural decoding is an important task for understanding how the biological nervous system performs computation and communication. This paper introduces a novel continuous neural de...
ESANN
2001
13 years 6 months ago
2001
: Many researchers are interesting in applying the neural networks methods to financial data. In fact these data are very complex, and classical methods do not always give satisfac...
ISNN
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. This paper studies the extension of the Generalization Complexity (GC) measure to real valued input problems. The GC measure, defined in Boolean space, was proposed as a...
ESANN
2004
13 years 6 months ago
2004
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
BMCBI
2004
13 years 4 months ago
2004
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...