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» Selectivity Estimation using Probabilistic Models
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DCC
2006
IEEE
16 years 4 months ago
The B-coder: An Improved Binary Arithmetic Coder and Probability Estimator
In this paper we present the B-coder, an efficient binary arithmetic coder that performs extremely well on a wide range of data. The B-coder should be classed as an `approximate&#...
Benjamin Kelly, David F. Brailsford

Publication
147views
14 years 1 months ago
Rain or Snow Detection in Image Sequences through use of a Histogram of Orientation of Streaks
The detection of bad weather conditions is crucial for meteorological centers, specially with demand for air, sea and ground traffic management. In this article, a system based on ...
Jérémie Bossu, Nicolas Hautière and Jean-Philip...
JMLR
2002
115views more  JMLR 2002»
15 years 4 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
GECCO
2004
Springer
15 years 10 months ago
Program Evolution by Integrating EDP and GP
This paper discusses the performance of a hybrid system which consists of EDP and GP. EDP, Estimation of Distribution Programming, is the program evolution method based on the prob...
Kohsuke Yanai, Hitoshi Iba
BMCBI
2008
134views more  BMCBI 2008»
15 years 5 months ago
Stability analysis of mixtures of mutagenetic trees
Background: Mixture models of mutagenetic trees are evolutionary models that capture several pathways of ordered accumulation of genetic events observed in different subsets of pa...
Jasmina Bogojeska, Thomas Lengauer, Jörg Rahn...