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ALT
2008
Springer
14 years 5 months ago
Learning with Continuous Experts Using Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Indraneel Mukherjee, Robert E. Schapire
ISCC
2005
IEEE
130views Communications» more  ISCC 2005»
14 years 1 months ago
Fair and Efficient Frame-Based Scheduling Algorithm for Multimedia Networks
The broad spread of packet data networks and the emergence of applications in multimedia communications, created a driving force towards an improved Quality of Service (QoS) model...
T. Al-Khasib, Hussein M. Alnuweiri, Hossam Fattah,...
COLT
1999
Springer
14 years 16 days ago
Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Robert E. Schapire
CORR
2006
Springer
98views Education» more  CORR 2006»
13 years 8 months ago
Reversal Complexity Revisited
We study a generalized version of reversal bounded Turing machines where, apart from several tapes on which the number of head reversals is bounded by r(n), there are several furth...
André Hernich, Nicole Schweikardt
CVPR
2012
IEEE
11 years 10 months ago
Learning to localize detected objects
In this paper, we propose an approach to accurately localize detected objects. The goal is to predict which features pertain to the object and define the object extent with segme...
Qieyun Dai, Derek Hoiem