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» Algorithmic Complexity Bounds on Future Prediction Errors
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CORR
2010
Springer
47views Education» more  CORR 2010»
14 years 12 months ago
Robustness and Generalization
We derive generalization bounds for learning algorithms based on their robustness: the property that if a testing sample is "similar" to a training sample, then the test...
Huan Xu, Shie Mannor
ICS
2010
Tsinghua U.
15 years 9 months ago
Cryptography by Cellular Automata or How Fast Can Complexity Emerge in Nature?
Computation in the physical world is restricted by the following spatial locality constraint: In a single unit of time, information can only travel a bounded distance in space. A ...
Benny Applebaum, Yuval Ishai, Eyal Kushilevitz
INTERSPEECH
2010
14 years 6 months ago
Online adaptive learning for speech recognition decoding
We describe a new method for pruning in dynamic models based on running an adaptive filtering algorithm online during decoding to predict aspects of the scores in the near future....
Jeff Bilmes, Hui Lin
BIOSYSTEMS
2008
129views more  BIOSYSTEMS 2008»
14 years 12 months ago
Reconstruction of DNA sequences using genetic algorithms and cellular automata: Towards mutation prediction?
Change of DNA sequence that fuels evolution is, to a certain extent, a deterministic process because mutagenesis does not occur in an absolutely random manner. So far, it has not ...
Ch. Mizas, Georgios Ch. Sirakoulis, Vasilios A. Ma...
ALGORITHMICA
2002
94views more  ALGORITHMICA 2002»
14 years 11 months ago
The Quantum Black-Box Complexity of Majority
We describe a quantum black-box network computing the majority of N bits with zerosided error using only 2 3 N + O( N log( -1 log N)) queries: the algorithm returns the correct an...
Thomas P. Hayes, Samuel Kutin, Dieter van Melkebee...