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ATAL
2006
Springer
13 years 11 months ago
Multi-robot learning with particle swarm optimization
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the lea...
Jim Pugh, Alcherio Martinoli
EOR
2007
364views more  EOR 2007»
13 years 7 months ago
Heuristics for the mirrored traveling tournament problem
Professional sports leagues are a major economic activity around the world. Teams and leagues do not want to waste their investments in players and structure in consequence of poo...
Celso C. Ribeiro, Sebastián Urrutia
BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
14 years 2 months ago
Optimizing performance, cost, and sensitivity in pairwise sequence search on a cluster of PlayStations
— The Smith-Waterman algorithm is a dynamic programming method for determining optimal local alignments between nucleotide or protein sequences. However, it suffers from quadrati...
Ashwin M. Aji, Wu-chun Feng
JMLR
2006
389views more  JMLR 2006»
13 years 8 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
ICDAR
2009
IEEE
13 years 5 months ago
Shape Descriptor Based Document Image Indexing and Symbol Recognition
In this paper we present a novel shape descriptor based on shape context, which in combination with hierarchical distance based hashing is used for word and graphical pattern base...
Ehtesham Hassan, Santanu Chaudhury, M. Gopal