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COLT
2005
Springer
14 years 11 months ago
Data Dependent Concentration Bounds for Sequential Prediction Algorithms
Abstract. We investigate the generalization behavior of sequential prediction (online) algorithms, when data are generated from a probability distribution. Using some newly develop...
Tong Zhang
MICRO
2002
IEEE
114views Hardware» more  MICRO 2002»
15 years 2 months ago
Characterizing and predicting value degree of use
A value’s degree of use—the number of dynamic uses of that value—provides the most essential information needed to optimize its communication. We present simulation results ...
J. Adam Butts, Gurindar S. Sohi
94
Voted
DCC
2004
IEEE
15 years 9 months ago
On the Complexity of Rate-Distortion Optimal Streaming of Packetized Media
We consider the problem of rate-distortion optimal streaming of packetized media with sender-driven transmission over a single-QoS network using feedback and retransmissions. For ...
Martin Röder, Jean Cardinal, Raouf Hamzaoui
CORR
2007
Springer
169views Education» more  CORR 2007»
14 years 9 months ago
Algorithmic Complexity Bounds on Future Prediction Errors
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true d...
Alexey V. Chernov, Marcus Hutter, Jürgen Schm...
BMVC
2010
14 years 7 months ago
Joint Modeling of Algorithm Behavior and Image Quality for Algorithm Performance Prediction
In this paper, we propose a framework for predicting the performance of a vision algorithm given the input image or video so as to maximize the algorithm's ability to provide...
Apurva Gala, Shishir Shah