1863 search results - page 28 / 373 » A supervised learning approach for imbalanced data sets |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Due to its occurrence in engineering domains and implications for natural learning, the problem of utilizing unlabeled data is attracting increasing attention in machine learning....
COLT
2008
Springer
13 years 10 months ago
2008
Springer
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
NAACL
2007
13 years 10 months ago
2007
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
HAIS
2010
Springer
13 years 7 months ago
2010
Springer
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...