693 search results - page 57 / 139 » Estimation in covariate-adjusted regression |
PRL
2008
14 years 9 months ago
2008
We introduce a semi-supervised learning estimator which tends to the first kernel principal component as the number of labeled points vanishes. We show application of the proposed...
JMLR
2006
14 years 9 months ago
2006
Random forests were introduced as a machine learning tool in Breiman (2001) and have since proven to be very popular and powerful for high-dimensional regression and classificatio...
IJON
2007
14 years 9 months ago
2007
This paper addresses the problem of variable ranking for Support Vector Regression. The relevance criteria that we proposed are based on leave-one-out bounds and some variants and...
CIKM
2007
Springer
15 years 3 months ago
2007
Springer
The problem of results merging in distributed information retrieval environments has been approached by two different directions in research. Estimation approaches attempt to cal...
COLT
1997
Springer
15 years 1 months ago
1997
Springer
Abstract. We propose a convex optimization approach to solving the nonparametric regression estimation problem when the underlying regression function is Lipschitz continuous. This...