718 search results - page 4 / 144 » Algorithmic approaches to training Support Vector Machines: ... |
TNN
2010
13 years 29 days ago
2010
We propose a multiple incremental decremental algorithm of Support Vector Machine (SVM). Conventional single incremental decremental SVM can update the trained model efficiently w...
ICML
2005
IEEE
14 years 7 months ago
2005
IEEE
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal ...
AAAI
2006
13 years 7 months ago
2006
One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
ICML
2007
IEEE
14 years 7 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...
ICML
2004
IEEE
14 years 7 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...