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EC
2006
195views ECommerce» more  EC 2006»
14 years 11 months ago
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
FOCS
2010
IEEE
14 years 9 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
ICRA
2006
IEEE
165views Robotics» more  ICRA 2006»
15 years 5 months ago
Biped Gait Optimization using Spline Function based Probability Model
— A new Estimation of Distribution Algorithm (EDA) with spline kernel function (EDA_S) is proposed to optimize biped gait for a nine-link humanoid robot. Gait synthesis of the bi...
Lingyun Hu, Changjiu Zhou, Zengqi Sun
93
Voted
CDC
2008
IEEE
15 years 6 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew
101
Voted
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 5 months ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski