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GLOBECOM
2010
IEEE
14 years 7 months ago
Reinforcement Learning for Link Adaptation in MIMO-OFDM Wireless Systems
Machine learning algorithms have recently attracted much interest for effective link adaptation due to their flexibility and ability to capture more environmental effects implicitl...
Sungho Yun, Constantine Caramanis
CVPR
2007
IEEE
15 years 11 months ago
Online Learning Asymmetric Boosted Classifiers for Object Detection
We present an integrated framework for learning asymmetric boosted classifiers and online learning to address the problem of online learning asymmetric boosted classifiers, which ...
Minh-Tri Pham, Tat-Jen Cham
ICML
2009
IEEE
15 years 4 months ago
Online learning by ellipsoid method
In this work, we extend the ellipsoid method, which was originally designed for convex optimization, for online learning. The key idea is to approximate by an ellipsoid the classi...
Liu Yang, Rong Jin, Jieping Ye
COLT
2006
Springer
15 years 1 months ago
Online Learning Meets Optimization in the Dual
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
CORR
2006
Springer
172views Education» more  CORR 2006»
14 years 9 months ago
Approximate Convex Optimization by Online Game Playing
This paper describes a general framework for converting online game playing algorithms into constrained convex optimization algorithms. This framework allows us to convert the wel...
Elad Hazan