1648 search results - page 59 / 330 » Training Data Selection for Support Vector Machines |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Optimization algorithms for large margin multiclass recognizers are often too costly to handle ambitious problems with structured outputs and exponential numbers of classes. Optim...
MMM
2005
Springer
14 years 2 months ago
2005
Springer
For some time now, image retrieval approaches have been developed that use low-level features, such as colour histograms, edge distributions and texture measures. What has been la...
ESANN
2006
13 years 10 months ago
2006
Abstract. We introduce a new class of recurrent, truly sequential SVM-like devices with internal adaptive states, trained by a novel method called EVOlution of systems with KErnel-...
BMCBI
2006
13 years 9 months ago
2006
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
ESANN
2008
13 years 10 months ago
2008
Sequential Minimal Optimization (SMO) is currently the most popular algorithm to solve large quadratic programs for Support Vector Machine (SVM) training. For many variants of this...