174 search results - page 10 / 35 » Incremental and Decremental Learning for Linear Support Vect... |
HAIS
2009
Springer
14 years 4 days ago
2009
Springer
Abstract. Protein membership prediction is a fundamental task to retrieve information for unknown or unidentified sequences. When support vector machines (SVMs) are associated with...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
The human neural responses associated with cognitive events, referred as event related potentials (ERPs), can provide reliable inference for target image detection. Incremental le...
MCS
2005
Springer
14 years 1 months ago
2005
Springer
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...