648 search results - page 15 / 130 » Large Margin Classification Using the Perceptron Algorithm |
BMCBI
2010
13 years 7 months ago
2010
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
MICCAI
2002
Springer
14 years 8 months ago
2002
Springer
After segmenting candidate exudates regions in colour retinal images we present and compare two methods for their classification. The Neural Network based approach performs margina...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
JMLR
2008
13 years 7 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
TNN
2010
2010
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
13 years 2 months ago
This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...