204 search results - page 4 / 41 » Scaling the Kernel Function to Improve Performance of the Su... |
ECAI
2004
Springer
13 years 11 months ago
2004
Springer
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
CORR
2007
Springer
13 years 6 months ago
2007
Springer
Support vector machines and kernel methods have recently gained considerable attention in chemoinformatics. They offer generally good performance for problems of supervised classi...
NIPS
2001
13 years 7 months ago
2001
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is developed by incorporating an idea of non-linear tim...
PAKDD
2011
ACM
12 years 9 months 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...
JMLR
2006
13 years 6 months ago
2006
Support vector machines (SVMs), though accurate, are not preferred in applications requiring great classification speed, due to the number of support vectors being large. To overc...