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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 2 months ago
A genetic algorithm for optimized reconstruction of quantized one-dimensional signals
This paper describes a genetic algorithm (GA) that evolves optimized sets of coefficients for one-dimensional signal reconstruction under lossy conditions due to quantization. Beg...
Frank W. Moore
EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
14 years 2 months ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
TVCG
1998
125views more  TVCG 1998»
13 years 8 months ago
Structure-Significant Representation of Structured Datasets
—Numerical simulation of physical phenomena is now an accepted way of scientific inquiry. However, the field is still evolving, with a profusion of new solution and grid-generati...
Raghu Machiraju, Zhifan Zhu, Bryan Fry, Robert J. ...
ALMOB
2007
155views more  ALMOB 2007»
13 years 9 months ago
Finding coevolving amino acid residues using row and column weighting of mutual information and multi-dimensional amino acid rep
Background: Some amino acid residues functionally interact with each other. This interaction will result in an evolutionary co-variation between these residues – coevolution. Ou...
Rodrigo Gouveia-Oliveira, Anders Gorm Pedersen
RAS
2007
153views more  RAS 2007»
13 years 8 months ago
Cognitive maps for mobile robots - an object based approach
Robots are rapidly evolving from factory work-horses to robot-companions. The future of robots, as our companions, is highly dependent on their abilities to understand, interpret ...
Shrihari Vasudevan, Stefan Gächter, Viet Nguy...