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EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
16 years 20 days 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...
EUROGP
2001
Springer
110views Optimization» more  EUROGP 2001»
16 years 1 days ago
General Schema Theory for Genetic Programming with Subtree-Swapping Crossover
Abstract. In this paper a new, general and exact schema theory for genetic programming is presented. The theory includes a microscopic schema theorem applicable to crossover operat...
Riccardo Poli
PODC
2000
ACM
15 years 12 months ago
Debugging distributed programs using controlled re-execution
Distributed programs are hard to write. A distributed debugger equipped with the mechanism to re-execute the traced computation in a controlled fashion can greatly facilitate the ...
Neeraj Mittal, Vijay K. Garg
LCPC
1999
Springer
15 years 11 months ago
A Linear Algebra Formulation for Optimising Replication in Data Parallel Programs
In this paper, we present an efficient technique for optimising data replication under the data parallel programming model. We propose a precise mathematical representation for da...
Olav Beckmann, Paul H. J. Kelly
ALT
1994
Springer
15 years 11 months ago
Program Synthesis in the Presence of Infinite Number of Inaccuracies
Most studies modeling inaccurate data in Gold style learning consider cases in which the number of inaccuracies is finite. The present paper argues that this approach is not reaso...
Sanjay Jain