107 search results - page 18 / 22 » Learning to rank using gradient descent |
118
Voted
PAMI
2010
14 years 11 months ago
2010
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
88
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
A broad class of boosting algorithms can be interpreted as performing coordinate-wise gradient descent to minimize some potential function of the margins of a data set. This class...
132
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WWW
2011
ACM
14 years 7 months ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
We propose to study links between three important classification algorithms: Perceptrons, Multi-Layer Perceptrons (MLPs) and Support Vector Machines (SVMs). We first study ways to...
130
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CVPR
2012
IEEE
13 years 3 months ago
2012
IEEE
We describe a method for learning steerable deformable part models. Our models exploit the fact that part templates can be written as linear filter banks. We demonstrate that one...