79 search results - page 6 / 16 » Adaptive Online Gradient Descent |
CORR
2010
Springer
14 years 9 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...
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JMLR
2012
13 years 4 days ago
2012
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We show how the regularizer of Transductive Support Vector Machines (TSVM) can be trained by stochastic gradient descent for linear models and multi-layer architectures. The resul...
77
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ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper, we propose a distributed learning strategy in wireless sensor networks. Taking advantage of recent developments on kernel-based machine learning, we consider a new ...
CDC
2010
IEEE
14 years 4 months ago
2010
IEEE
Abstract-- In robot deployment problems, the fundamental issue is to optimize a steady state performance measure that depends on the spatial configuration of a group of robots. For...