41 search results - page 5 / 9 » Weighted Kernel Regression for Predicting Changing Dependenc... |
JMLR
2006
13 years 7 months ago
2006
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
DIS
2009
Springer
14 years 2 months ago
2009
Springer
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
COLT
1999
Springer
13 years 12 months ago
1999
Springer
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
NIPS
2007
13 years 9 months ago
2007
The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— Artificial neural networks have proved an attractive approach to non-linear regression problems arising in environmental modelling, such as statistical downscaling, sh...