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ORL
2007
66views more  ORL 2007»
13 years 8 months ago
Linear programming with online learning
We propose online decision strategies for time-dependent sequences of linear programs which use no distributional and minimal geometric assumptions about the data. These strategies...
Tatsiana Levina, Yuri Levin, Jeff McGill, Mikhail ...
INFOCOM
2000
IEEE
14 years 1 months ago
Efficient Handoff Rerouting Algorithms: A Competitive On-Line Algorithmic Approach
—This paper considers the design of handoff rerouting algorithms for reducing the overall session cost in personal communication systems (PCS). Most modern communication systems ...
Yigal Bejerano, Israel Cidon, Joseph Naor
CORR
2012
Springer
210views Education» more  CORR 2012»
12 years 4 months ago
Towards minimax policies for online linear optimization with bandit feedback
We address the online linear optimization problem with bandit feedback. Our contribution is twofold. First, we provide an algorithm (based on exponential weights) with a regret of...
Sébastien Bubeck, Nicolò Cesa-Bianch...
CVPR
2011
IEEE
13 years 4 months ago
Online Detection of Unusual Events in Videos via Dynamic Sparse Coding
Real-time unusual event detection in video stream has been a difficult challenge due to the lack of sufficient training information, volatility of the definitions for both norm...
Bin Zhao, Li Fei-Fei, Eric Xing
CIKM
2010
Springer
13 years 7 months ago
Online learning for recency search ranking using real-time user feedback
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
Taesup Moon, Lihong Li, Wei Chu, Ciya Liao, Zhaohu...