964 search results - page 18 / 193 » Incremental and Decremental Support Vector Machine Learning |
104
Voted
ISCIS
2005
Springer
15 years 3 months ago
2005
Springer
Support Vector Machines (SVMs) have been applied to solve the classification of volatile organic compounds (VOC) data in some recent studies. SVMs provide good generalization perfo...
143
Voted
PAKDD
2011
ACM
14 years 14 days ago
2011
ACM
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
VLSID
2007
IEEE
15 years 3 months ago
2007
IEEE
In recent years, research and development in the field of machine learning and classification techniques have gained paramount importance. The future generation of intelligent e...
107
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ML
2010
ACM
14 years 8 months ago
2010
ACM
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
ICMLA
2009
2009
Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk
14 years 7 months ago
Patients undergoing thoracic radiation therapy can develop radiation pneumonitis (RP), a potentially fatal inflammation of the lungs. Support vector machines (SVMs), a statistical...