102 search results - page 1 / 21 » Bit Reduction Support Vector Machine |
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
Abstract— Support vector machines are very accurate classifiers and have been widely used in many applications. However, the training and to a lesser extent prediction time of s...
ESANN
2007
13 years 6 months ago
2007
We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
In this paper we describe a new method to reduce the complexity of support vector machines by reducing the number of necessary support vectors included in their solutions. The red...
TACAS
2010
Springer
13 years 11 months ago
2010
Springer
Ranking function synthesis is a key aspect to the success of modern termination provers for imperative programs. While it is wellknown how to generate linear ranking functions for ...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...