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LION
2010
Springer
209views Optimization» more  LION 2010»
15 years 10 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
IJCNN
2006
IEEE
15 years 11 months ago
Variance Stabilizing Regression Ensembles for Environmental Models
Anthony J. Bagnall, Ian Whittley, Matthew Studley,...
EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
15 years 11 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...
MCS
2007
Springer
15 years 12 months ago
Cooperative Coevolutionary Ensemble Learning
Abstract. A new optimization technique is proposed for classifiers fusion — Cooperative Coevolutionary Ensemble Learning (CCEL). It is based on a specific multipopulational evo...
Daniel Kanevskiy, Konstantin Vorontsov
IDA
2007
Springer
15 years 12 months ago
Two Bagging Algorithms with Coupled Learners to Encourage Diversity
In this paper, we present two ensemble learning algorithms which make use of boostrapping and out-of-bag estimation in an attempt to inherit the robustness of bagging to overfitti...
Carlos Valle, Ricardo Ñanculef, Héct...