1707 search results - page 32 / 342 » A Boosting Algorithm for Regression |
ERSA
2009
13 years 6 months ago
2009
Abstract-- The paper presents the implementation of nonlinear least-squares regression in a Field Programmable Gate Array (FPGA) device. The implemented algorithm is very performan...
ECML
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
NIPS
2008
13 years 10 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...