27 search results - page 2 / 6 » Stability of transductive regression algorithms |
DIS
2009
Springer
14 years 25 days 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...
PRL
2008
13 years 6 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...
PAMI
2012
11 years 8 months ago
2012
Abstract—We consider two desired properties of learning algorithms: sparsity and algorithmic stability. Both properties are believed to lead to good generalization ability. We sh...
JMLR
2002
13 years 6 months ago
2002
We define notions of stability for learning algorithms and show how to use these notions to derive generalization error bounds based on the empirical error and the leave-one-out e...
JAIR
2011
13 years 1 months ago
2011
In this paper we apply Conformal Prediction (CP) to the k-Nearest Neighbours Regression (k-NNR) algorithm and propose ways of extending the typical nonconformity measure used for ...