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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 4 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»
15 years 3 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»
14 years 10 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»
14 years 11 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»
14 years 10 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...