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PPSN
2004
Springer
14 years 3 months ago
Ensemble Learning with Evolutionary Computation: Application to Feature Ranking
Abstract. Exploiting the diversity of hypotheses produced by evolutionary learning, a new ensemble approach for Feature Selection is presented, aggregating the feature rankings ext...
Kees Jong, Elena Marchiori, Michèle Sebag
ICS
2010
Tsinghua U.
14 years 2 months ago
Robust Perfect Revenue From Perfectly Informed Players
: Maximizing revenue in the presence of perfectly informed players is a well known goal in mechanism design. Yet, all current mechanisms for this goal are vulnerable to equilibrium...
Jing Chen, Avinatan Hassidim, Silvio Micali
GECCO
2011
Springer
248views Optimization» more  GECCO 2011»
13 years 1 months ago
Size-based tournaments for node selection
In genetic programming, the reproductive operators of crossover and mutation both require the selection of nodes from the reproducing individuals. Both unbiased random selection a...
Thomas Helmuth, Lee Spector, Brian Martin
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 11 months ago
Cluster Ensemble Selection
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Xiaoli Z. Fern, Wei Lin
ICCV
2003
IEEE
15 years 3 days ago
Entropy-of-likelihood Feature Selection for Image Correspondence
Feature points for image correspondence are often selected according to subjective criteria (e.g. edge density, nostrils). In this paper, we present a general, non-subjective crit...
Matthew Toews, Tal Arbel