174 search results - page 24 / 35 » Incremental and Decremental Learning for Linear Support Vect... |
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Incorporation of prior knowledge into the learning process can significantly improve low-sample classification accuracy. We show how to introduce prior knowledge into linear supp...
JMLR
2011
13 years 2 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
A new class of nonparametric algorithms for high-dimensional binary classification is proposed using cascades of low dimensional polynomial structures. Construction of polynomial ...
COLT
2003
Springer
14 years 23 days ago
2003
Springer
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
JMLR
2010
13 years 6 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...