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CPAIOR
2004
Springer
15 years 7 months ago
Simple Rules for Low-Knowledge Algorithm Selection
This paper addresses the question of selecting an algorithm from a predefined set that will have the best performance on a scheduling problem instance. Our goal is to reduce the e...
J. Christopher Beck, Eugene C. Freuder
PDP
2008
IEEE
15 years 8 months ago
Internet-Scale Simulations of a Peer Selection Algorithm
The match between a peer-to-peer overlay and the physical Internet infrastructure is a constant issue. Time-constrained peer-to-peer applications such as live streaming systems ar...
Ali Boudani, Yiping Chen, Gilles Straub, Gwendal S...
FLAIRS
2008
15 years 4 months ago
Genetic Approach for Optimizing Ensembles of Classifiers
An ensemble of classifiers is a set of classifiers whose predictions are combined in some way to classify new instances. Early research has shown that, in general, an ensemble of ...
Francisco Javier Ordóñez, Agapito Le...
SPLC
2008
15 years 3 months ago
Filtered Cartesian Flattening: An Approximation Technique for Optimally Selecting Features while Adhering to Resource Constraint
Software Product-lines (SPLs) use modular software components that can be reconfigured into different variants for different requirements sets. Feature modeling is a common method...
Jules White, B. Doughtery, Douglas C. Schmidt
ICIP
2009
IEEE
16 years 3 months ago
A Fractal Dimension Based Optimal Wavelet Packet Analysis Technique For Classification Of Meningioma Brain Tumours
With the heterogeneous nature of tissue texture, using a single resolution approach for optimum classification might not suffice. In contrast, a multiresolution wavelet packet ana...