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EAAI
2010
107views more  EAAI 2010»
13 years 3 months ago
Honey bee social foraging algorithms for resource allocation: Theory and application
A model of honey bee social foraging is introduced to create an algorithm that solves a class of optimal resource allocation problems. We prove that if several such algorithms (&q...
Nicanor Quijano, Kevin M. Passino
ICML
2004
IEEE
14 years 9 months ago
Margin based feature selection - theory and algorithms
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
EC
1998
178views ECommerce» more  EC 1998»
13 years 8 months ago
The Simple Genetic Algorithm and the Walsh Transform: Part I, Theory
This paper is the first part of a two part series. It proves a number of direct relationships between the Fourier transform and the simple genetic algorithm. (For a binary repres...
Michael D. Vose, Alden H. Wright
JMLR
2006
105views more  JMLR 2006»
13 years 8 months ago
Some Theory for Generalized Boosting Algorithms
We give a review of various aspects of boosting, clarifying the issues through a few simple results, and relate our work and that of others to the minimax paradigm of statistics. ...
Peter J. Bickel, Yaacov Ritov, Alon Zakai
ICRA
2008
IEEE
135views Robotics» more  ICRA 2008»
14 years 3 months ago
Path and trajectory diversity: Theory and algorithms
— We present heuristic algorithms for pruning large sets of candidate paths or trajectories down to smaller subsets that maintain desirable characteristics in terms of overall re...
Michael S. Branicky, Ross A. Knepper, James J. Kuf...