544 search results - page 31 / 109 » Active Learning with Model Selection in Linear Regression |
ML
2002
ACM
13 years 8 months ago
2002
ACM
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
NECO
2002
13 years 8 months ago
2002
In the presence of a heavy-tail noise distribution, regression becomes much more di cult. Traditional robust regression methods assume that the noise distribution is symmetric and...
NIPS
1997
13 years 10 months ago
1997
We study on-line generalized linear regression with multidimensional outputs, i.e., neural networks with multiple output nodes but no hidden nodes. We allow at the final layer tra...
AUSAI
2009
Springer
14 years 19 days ago
2009
Springer
Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...
NN
2000
Springer
13 years 8 months ago
2000
Springer
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...