693 search results - page 33 / 139 » Estimation in covariate-adjusted regression |
NIPS
2004
14 years 11 months ago
2004
We present a competitive analysis of Bayesian learning algorithms in the online learning setting and show that many simple Bayesian algorithms (such as Gaussian linear regression ...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
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Voted
ECCV
2000
Springer
15 years 11 months ago
2000
Springer
The Singular Value Decomposition (SVD) of a matrix is a linear algebra tool that has been successfully applied to a wide variety of domains. The present paper is concerned with the...
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
In this paper we propose a framework for learning a regression function form a set of local features in an image. The regression is learned from an embedded representation that re...
JMLR
2010
14 years 8 months ago
2010
Bagging is a simple way to combine estimates in order to improve their performance. This method, suggested by Breiman in 1996, proceeds by resampling from the original data set, c...