218 search results - page 18 / 44 » A Neural Adaptive Algorithm for Feature Selection and Classi... |
ICCS
2007
Springer
14 years 14 days ago
2007
Springer
Common techniques tackling the task of classification in data mining employ ansatz functions associated to training data points to fit the data as well as possible. Instead, the fe...
TNN
2008
13 years 8 months ago
2008
A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of spe...
ANNPR
2006
Springer
14 years 10 days ago
2006
Springer
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
TEC
2008
13 years 8 months ago
2008
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
SSPR
2004
Springer
14 years 1 months ago
2004
Springer
High-resolution spectroscopy is a powerful industrial tool. The number of features (wavelengths) in these data sets varies from several hundreds up to a thousand. Relevant feature ...