750 search results - page 7 / 150 » Learning SVMs from Sloppily Labeled Data |
AAAI
2010
13 years 9 months ago
2010
One of the main difficulties in facial age estimation is the lack of sufficient training data for many ages. Fortunately, the faces at close ages look similar since aging is a slo...
JMLR
2006
13 years 7 months ago
2006
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
CEC
2008
IEEE
13 years 9 months ago
2008
IEEE
This article presents results from experiments where a detector for defects in visual inspection images was learned from scratch by EANT2, a method for evolutionary reinforcement l...
JMLR
2010
13 years 2 months ago
2010
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...