1648 search results - page 108 / 330 » Training Data Selection for Support Vector Machines |
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
NECO
2007
13 years 8 months ago
2007
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...
EMNLP
2010
13 years 7 months ago
2010
Production of parallel training corpora for the development of statistical machine translation (SMT) systems for resource-poor languages usually requires extensive manual effort. ...
NAACL
2007
13 years 10 months ago
2007
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
ICCV
2003
IEEE
14 years 2 months ago
2003
IEEE
Detecting the dominant normal directions to the decision surface is an established technique for feature selection in high dimensional classification problems. Several approaches...