3378 search results - page 112 / 676 » Learning in Friedberg Numberings |
158
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NIPS
2007
15 years 7 months ago
2007
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
206
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UAI
2003
15 years 7 months ago
2003
This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...
167
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
We develop a novel online learning algorithm for the group lasso in order to efficiently find the important explanatory factors in a grouped manner. Different from traditional bat...
158
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CORR
2010
Springer
15 years 6 months 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...
149
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...