750 search results - page 2 / 150 » Learning SVMs from Sloppily Labeled Data |
LWA
2004
13 years 6 months ago
2004
Support Vector Machines (SVMs) have become a popular learning algorithm, in particular for large, high-dimensional classification problems. SVMs have been shown to give most accur...
TREC
2007
13 years 6 months ago
2007
Relaxed Online Support Vector Machines (ROSVMs) have recently been proposed as an efficient methodology for attaining an approximate SVM solution for streaming data such as the on...
JMLR
2010
13 years 3 days ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
FLAIRS
2003
13 years 6 months ago
2003
Support vector machines (SVMs) are regularly used for classification of unbalanced data by weighting more heavily the error contribution from the rare class. This heuristic techn...