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» Improving the SLA Algorithm Using Association Rules
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EVOW
2000
Springer
15 years 4 months ago
An Ant Algorithm with a New Pheromone Evaluation Rule for Total Tardiness Problems
Ant Colony Optimization is an evolutionary method that has recently been applied to scheduling problems. We propose an ACO algorithm for the Single Machine Total Weighted Tardiness...
Daniel Merkle, Martin Middendorf
ICRA
2003
IEEE
103views Robotics» more  ICRA 2003»
15 years 5 months ago
Simultaneous localization and mapping with unknown data association using fastSLAM
— The Extended Kalman Filter (EKF) has been the de facto approach to the Simultaneous Localization and Mapping (SLAM) problem for nearly fifteen years. However, the EKF has two ...
Michael Montemerlo, Sebastian Thrun
79
Voted
GECCO
2008
Springer
104views Optimization» more  GECCO 2008»
15 years 1 months ago
Protein-protein functional association prediction using genetic programming
Determining if a group of proteins are functionally associated among themselves is an open problem in molecular biology. Within our long term goal of applying Genetic Programming ...
Beatriz García, Ricardo Aler, Agapito Ledez...
130
Voted
BMCBI
2010
110views more  BMCBI 2010»
14 years 11 months ago
Improvements to previous algorithms to predict gene structure and isoform concentrations using Affymetrix Exon arrays
Background: Exon arrays provide a way to measure the expression of different isoforms of genes in an organism. Most of the procedures to deal with these arrays are focused on gene...
Miguel A. Anton, Ander Aramburu, Angel Rubio
65
Voted
PR
2006
80views more  PR 2006»
15 years 13 days ago
Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence
The k-nearest-neighbor rule is one of the most attractive pattern classification algorithms. In practice, the choice of k is determined by the cross-validation method. In this wor...
Jigang Wang, Predrag Neskovic, Leon N. Cooper