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DGO
2008
173views Education» more  DGO 2008»
15 years 7 months ago
The Deliberative E-Rulemaking project (DeER): improving federal agency rulemaking via natural language processing and citizen di
Many scholars believe that electronic rulemaking has great but largely untapped potential to expand the public's democratic input and improve federal agency regulatory rules....
Peter Muhlberger, Nick Webb, Jennifer Stromer-Gall...
ICA
2010
Springer
15 years 7 months ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 7 months ago
Speed-up techniques for solving large-scale bTSP with the Two-Phase Pareto Local Search
We first present a method, called Two-Phase Pareto Local Search, to find a good approximation of the efficient set of the biobjective traveling salesman problem. In the first p...
Thibaut Lust
GECCO
2008
Springer
136views Optimization» more  GECCO 2008»
15 years 7 months ago
On the genetic programming of time-series predictors for supply chain management
Single and multi-step time-series predictors were evolved for forecasting minimum bidding prices in a simulated supply chain management scenario. Evolved programs were allowed to ...
Alexandros Agapitos, Matthew Dyson, Jenya Kovalchu...
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
15 years 7 months ago
Image registration using genetic algorithms
This paper addresses the image registration problem applying genetic algorithms. The image registration’s objective is the definition of a mapping that best match two set of poi...
Flávio Luiz Seixas, Luiz Satoru Ochi, Aura ...
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