750 search results - page 38 / 150 » Learning SVMs from Sloppily Labeled Data |
KAIS
2010
13 years 7 months ago
2010
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
IDA
2005
Springer
14 years 2 months ago
2005
Springer
We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels. Our learning method, referred to as ranking by...
ICML
2005
IEEE
14 years 10 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....
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
WWW
2011
ACM
13 years 4 months ago
2011
ACM
In this paper, we study the problem of transfer learning from text to images in the context of network data in which link based bridges are available to transfer the knowledge bet...