56 search results - page 2 / 12 » New Transfer Learning Techniques for Disparate Label Sets |
ICML
2007
IEEE
14 years 8 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...
TKDE
2010
13 years 6 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
AAAI
2008
13 years 10 months ago
2008
Transfer is the ability to employ knowledge acquired in one task to improve performance in another. We study transfer in the context of the ICARUS cognitive architecture, which su...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
One significant challenge in the construction of visual detection systems is the acquisition of sufficient labeled data. This paper describes a new technique for training visual d...
AIM
2011
12 years 11 months ago
2011
Transfer learning aims to solve new learning problems by extracting and making use of the common knowledge found in related domains. A key element of transfer learning is to ident...