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Modeling Public Pensions with ...   (Conference Proceedings)
Defined benefit pension plans are the predominant method of retirement compensation for state government employees. They create entitlements to annuities whose value is ...
Symbolic Regression via Genetic ...   (Conference Proceedings)
Symbolic regression via genetic programming is a branch of empirical modeling that evolves summary expressions for available data. Although intrinsically difficult (the ...
machine learning framework 1.5 for ...   (Conference Proceedings)
machine learning framework (mlf) for Mathematica is a collection of powerful machine learning algorithms integrated into a framework for the purpose of data analysis. The ...
Well-known mathematical models related to blending problem are extended and adjusted to the specific blending problem in copper production. Certain constraints are deduced ...
Big Insight vs. Big Data   (Conference Proceedings)
Digging insights out of multivariate data is intrinsically hard. Data Modeler’s evolutionary algorithms address this by rewarding simplicity as well as accuracy to identify ...
Crowd-Sourcing Insight from Digital ...   (Conference Proceedings)
The evolutionary search and the core of DataModeler rewards models which are both simple and good approximations of the supplied input-response data. This selection pressure ...
Crowd-Sourcing Insight from Digital ...   (Conference Proceedings)
The evolutionary search and the core of DataModeler rewards models which are both simple and good approximations of the supplied input-response data. This selection pressure ...
This program compares two risk prediction models: Model 1, which is the baseline model and Model 2, which includes additional markers. For table data, the input is a pair of ...
The extension of Extended Phonon Projection Model [1] is so the called Multi-Band-Phonon-Projection-Model. This model includes two-intrinsic-phonon excited bands. The model ...
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