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» Adaptive Learning from Evolving Data Streams
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COLT
2010
Springer
14 years 10 months ago
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
John Duchi, Elad Hazan, Yoram Singer
CVPR
2011
IEEE
14 years 10 months ago
Dynamic Batch Mode Active Learning
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Shayok Chakraborty, Vineeth Balasubramanian, Sethu...
124
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INFOCOM
2009
IEEE
15 years 7 months ago
An Experimental Evaluation of Rate Adaptation for Multi-Antenna Systems
—Increasingly wireless networks use multi-antenna nodes as in IEEE 802.11n and 802.16. The Physical layer (PHY) in such systems may use the antennas to provide multiple streams o...
Wonsoo Kim, O. Khan, Kien T. Truong, Soon-Hyeok Ch...
ESANN
2008
15 years 2 months ago
Generalized matrix learning vector quantizer for the analysis of spectral data
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
Petra Schneider, Frank-Michael Schleif, Thomas Vil...
ICIW
2009
IEEE
15 years 7 months ago
Personalized News Search in WWW: Adapting on User's Behavior
— Personalized Web Search becomes nowadays a promising option in the field of Information Retrieval and search engines design by improving both output quality and user experience...
Christos Bouras, Vassilis Poulopoulos, Panagiotis ...