20 search results - page 2 / 4 » Kernel Expansions with Unlabeled Examples |
ICML
2005
IEEE
14 years 8 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....
BIOINFORMATICS
2005
13 years 7 months ago
2005
A key issue in supervised protein classification is the representation of input sequences of amino acids. Recent work using string kernels for protein data has achieved state-of-t...
NIPS
2004
13 years 9 months ago
2004
Co-training is a method for combining labeled and unlabeled data when examples can be thought of as containing two distinct sets of features. It has had a number of practical succ...
ALT
2004
Springer
14 years 4 months ago
2004
Springer
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...