1419 search results - page 1 / 284 » Approximation Methods for Supervised Learning |
63
Voted
FOCM
2006
14 years 9 months ago
2006
Let be an unknown Borel measure defined on the space Z := X
78
Voted
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...
81
Voted
NIPS
1994
14 years 10 months ago
1994
We present efficient algorithms for dealing with the problem of missing inputs (incomplete feature vectors) during training and recall. Our approach is based on the approximation ...
NIPS
2004
14 years 11 months ago
2004
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
IJCAI
2007
14 years 11 months ago
2007
In recent years, metric learning in the semisupervised setting has aroused a lot of research interests. One type of semi-supervised metric learning utilizes supervisory informatio...