102 search results - page 10 / 21 » Robust Regularized Kernel Regression |
ICML
2007
IEEE
14 years 7 months ago
2007
IEEE
In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...
NIPS
2008
13 years 8 months ago
2008
We consider robust least-squares regression with feature-wise disturbance. We show that this formulation leads to tractable convex optimization problems, and we exhibit a particul...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
SIGIR
2005
ACM
14 years 8 days ago
2005
ACM
This paper reports a cross-benchmark evaluation of regularized logistic regression (LR) and incremental Rocchio for adaptive filtering. Using four corpora from the Topic Detection...