1648 search results - page 87 / 330 » Training Data Selection for Support Vector Machines |
BMCBI
2007
13 years 9 months ago
2007
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
This paper presents a minimum classification error (MCE) training approach for improving the accuracy of multi-class support vector machine (SVM) classifiers. We have applied th...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
ECML
2006
Springer
14 years 24 days ago
2006
Springer
This paper presents a decoupled two stage solution to the multiple-instance learning (MIL) problem. With a constructed affinity matrix to reflect the instance relations, a modified...
ICIC
2005
Springer
14 years 2 months ago
2005
Springer
This paper proposes two methods which take advantage of k -mean clustering algorithm to decrease the number of support vectors (SVs) for the training of support vector machine (SVM...