107 search results - page 10 / 22 » Learning to rank using gradient descent |
97
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CORR
2010
Springer
15 years 23 days ago
2010
Springer
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
111
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NIPS
2008
15 years 2 months ago
2008
In this paper we aim to train deep neural networks for rapid visual recognition. The task is highly challenging, largely due to the lack of a meaningful regularizer on the functio...
122
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WSDM
2010
ACM
15 years 5 months ago
2010
ACM
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
140
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JMLR
2008
15 years 19 days ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
112
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IOR
2011
14 years 7 months ago
2011
We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...