242 search results - page 11 / 49 » Optimization over Zonotopes and Training Support Vector Mach... |
SYNASC
2006
IEEE
14 years 2 months ago
2006
IEEE
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
CDC
2009
IEEE
13 years 9 months ago
2009
IEEE
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...