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Predictive modelling

Known as: CARBOB, Predictive Models, California Predictive Model 
Predictive modeling uses statistics to predict outcomes. Most often the event one wants to predict is in the future, but predictive modelling can be… Expand
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Papers overview

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Review
2019
Review
2019
The classic supervised machine learning paradigm is based on learning in isolation, a single predictive model for a task using a… Expand
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Review
2019
Review
2019
Abstract This paper presents a review of recent experimental evidence and simulation results enumerating the development of the… Expand
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Review
2019
Review
2019
Data from experiments and direct simulations of turbulence have historically been used to calibrate simple engineering models… Expand
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Highly Cited
2013
Highly Cited
2013
General Strategies.- Regression Models.- Classification Models.- Other Considerations.- Appendix.- References.- Indices. 
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Highly Cited
2008
Highly Cited
2008
The caret package, short for classification and regression training, contains numerous tools for developing predictive models… Expand
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Highly Cited
2005
Highly Cited
2005
In machining of parts, surface quality is one of the most specified customer requirements. Major indication of surface quality on… Expand
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Highly Cited
2004
Highly Cited
2004
Although engineering models of user behavior have enjoyed a rich history in HCI, they have yet to have a widespread impact due to… Expand
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Highly Cited
2003
Highly Cited
2003
Abstract The Genetic Algorithm for Rule-Set Prediction (GARP) is one of several current approaches to modeling species… Expand
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Highly Cited
1997
Highly Cited
1997
This paper presents a model describing sequential iteration, one of the fundamental solution processes experienced in complex… Expand
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Highly Cited
1993
Highly Cited
1993
In this paper a new genetic algorithm called the Breeder Genetic Algorithm (BGA) is introduced. The BGA is based on artificial… Expand
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