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» Improved Risk Tail Bounds for On-Line Algorithms
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TIT
2008
76views more  TIT 2008»
13 years 5 months ago
Improved Risk Tail Bounds for On-Line Algorithms
We prove the strongest known bound for the risk of hypotheses selected from the ensemble generated by running a learning algorithm incrementally on the training data. Our result i...
Nicolò Cesa-Bianchi, Claudio Gentile
NIPS
2001
13 years 7 months ago
On the Generalization Ability of On-Line Learning Algorithms
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
COCOON
2006
Springer
13 years 9 months ago
Improved On-Line Broadcast Scheduling with Deadlines
We study an on-line broadcast scheduling problem in which requests have deadlines, and the objective is to maximize the weighted throughput, i.e., the weighted total length of the ...
Feifeng Zheng, Stanley P. Y. Fung, Wun-Tat Chan, F...
FOCS
1993
IEEE
13 years 9 months ago
An On-Line Algorithm for Improving Performance in Navigation
We consider the following scenario. A point robot is placed at some start location ¡ in a 2dimensional scene containing oriented rectangular obstacles. The robot must repeatedly ...
Avrim Blum, Prasad Chalasani
MST
2002
107views more  MST 2002»
13 years 5 months ago
Efficient On-Line Frequency Allocation and Call Control in Cellular Networks
Abstract. In this paper we consider communication issues arising in cellular (mobile) networks that utilize frequency division multiplexing (FDM) technology. In such networks, many...
Ioannis Caragiannis, Christos Kaklamanis, Evi Papa...