1419 search results - page 106 / 284 » Approximation Methods for Supervised Learning |
129
Voted
FLAIRS
2009
14 years 10 months ago
2009
As robots become more common, it becomes increasingly useful for them to communicate and effectively share knowledge that they have learned through their individual experiences. L...
NIPS
2004
15 years 1 months ago
2004
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show (1) how to appro...
109
Voted
NAACL
2010
14 years 10 months ago
2010
Previous work on dependency parsing used various kinds of combination models but a systematic analysis and comparison of these approaches is lacking. In this paper we implemented ...
100
Voted
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
CVPR
2008
IEEE
15 years 2 months ago
2008
IEEE
Local learning for classification is useful in dealing with various vision problems. One key factor for such approaches to be effective is to find good neighbors for the learning ...