29 search results - page 2 / 6 » Learning to rank from a noisy crowd |
COLING
2010
13 years 3 months ago
2010
Fact collections are mostly built using semi-supervised relation extraction techniques and wisdom of the crowds methods, rendering them inherently noisy. In this paper, we propose...
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
ICCV
2009
IEEE
13 years 6 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
WWW
2007
ACM
14 years 9 months ago
2007
ACM
As part of a large effort to acquire large repositories of facts from unstructured text on the Web, a seed-based framework for textual information extraction allows for weakly sup...