180 search results - page 34 / 36 » Prediction error of a fault tolerant neural network |
BMCBI
2008
13 years 8 months ago
2008
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
— Gene expression based cancer classification using classifier ensembles is the main focus of this work. A new ensemble method is proposed that combines predictions of a small ...
IJCAI
2007
13 years 10 months ago
2007
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
ECAI
2010
Springer
13 years 6 months ago
2010
Springer
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
JCNS
2011
13 years 3 months ago
2011
To understand the functional connectivity of neural networks, it is important to develop simple and incisive descriptors of multineuronal firing patterns. Analysis at the pairwise...