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SWARM
2012
SPRINGER
329views Optimization» more  SWARM 2012»
14 years 3 months ago
A critical analysis of parameter adaptation in ant colony optimization
Applying parameter adaptation means operating on parameters of an algorithm while it is tackling an instance. For ant colony optimization, several parameter adaptation methods have...
Paola Pellegrini, Thomas Stützle, Mauro Birat...
SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
13 years 10 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
ICIP
2005
IEEE
16 years 9 months ago
A context adaptation model for the compression of images with a reduced number of colors
Recently, Chen et al. proposed a method for compressing color-quantized images that is based on a binary tree representation of colors and on context-based arithmetic coding with ...
António J. R. Neves, Armando J. Pinho
ICML
2009
IEEE
16 years 8 months ago
ABC-boost: adaptive base class boost for multi-class classification
We propose abc-boost (adaptive base class boost) for multi-class classification and present abc-mart, an implementation of abcboost, based on the multinomial logit model. The key ...
Ping Li
CCECE
2009
IEEE
16 years 2 months ago
Downlink transmitter adaptation based on greedy SINR maximization
In this paper we present algorithms for transmitter adaptation in downlink wireless systems based on maximization of the Signal-to-Interference plus Noise-Ratio (SINR). We investi...
Dimitrie C. Popescu, Shiny Abraham, Otilia Popescu