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» Randomness, lowness and degrees
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ICML
2010
IEEE
15 years 7 months ago
Supervised Aggregation of Classifiers using Artificial Prediction Markets
Prediction markets are used in real life to predict outcomes of interest such as presidential elections. In this work we introduce a mathematical theory for Artificial Prediction ...
Nathan Lay, Adrian Barbu
ICASSP
2010
IEEE
15 years 6 months ago
An adaptive level of detail approach to nonlinear estimation
In this work, we present a general method for approximating nonlinear transformations of Gaussian mixture random variables. It is based on transforming the individual Gaussians wi...
Friedrich Faubel, Dietrich Klakow
DC
2010
15 years 6 months ago
Towards worst-case churn resistant peer-to-peer systems
Abstract Until now, the analysis of fault tolerance of peerto-peer systems usually only covers random faults of some kind. Contrary to traditional algorithmic research, faults as w...
Fabian Kuhn, Stefan Schmid, Roger Wattenhofer
ICASSP
2011
IEEE
14 years 10 months ago
Transitional surrogates
While an exact stationarization of a process with a given spectrum magnitude can be obtained via a complete randomization of the spectrum phase (“surrogates” technique), we pr...
Pierre Borgnat, Patrick Flandrin, André Fer...
FOCS
2006
IEEE
16 years 11 days ago
Better lossless condensers through derandomized curve samplers
Lossless condensers are unbalanced expander graphs, with expansion close to optimal. Equivalently, they may be viewed as functions that use a short random seed to map a source on ...
Amnon Ta-Shma, Christopher Umans