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Book
Book
2004, Biblioteka Doba, ISBN 8679790974, Volume knj. 15, 201
Book
Book
Epidemiology, ISSN 1044-3983, 09/2012, Volume 23, p. 1
Journal Article
BMC Bioinformatics, ISSN 1471-2105, 02/2013, Volume 14, Issue 3, pp. S8 - S8
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 10/2012, Volume 13, pp. 3103 - 3131
Online algorithms that process one example at a time are advantageous when dealing with very large data or with data streams. Stochastic Gradient Descent (SGD)... 
Kernel methods | Large-scale learning | Stochastic gradient descent | SVM | Online learning | large-scale learning | kernel methods | stochastic gradient descent | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | online learning
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 2010, Volume 9, pp. 908 - 915
Journal Article
Statistical Analysis and Data Mining, ISSN 1932-1872, 06/2010, Volume 3, Issue 3, pp. 149 - 169
Journal Article
IEEE Geoscience and Remote Sensing Letters, ISSN 1545-598X, 04/2015, Volume 12, Issue 4, pp. 761 - 765
We present a Gaussian conditional random field model for the aggregation of aerosol optical depth (AOD) retrievals from multiple satellite instruments into a... 
Aerosol optical depth (AOD) | Satellites | Uncertainty | Accuracy | Aerosols | Gaussian conditional random fields (CRFs) (GCRFs) | remote sensing | Sensors | data aggregation | MODIS | GEOCHEMISTRY & GEOPHYSICS | PRODUCTS | ALGORITHM | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 12/2013, Volume 14, pp. 3813 - 3817
We present BudgetedSVM, an open-source C++ toolbox comprising highly-optimized implementations of recently proposed algorithms for scalable training of Support... 
Large-scale learning | SVM | Machine learning toolbox | Non-linear classification | large-scale learning | machine learning toolbox | non-linear classification | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Machine Learning, ISSN 0885-6125, 11/2013, Volume 93, Issue 2, pp. 191 - 225
Journal Article
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