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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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Related topics

Related topics

23 relations
BiostatisticsChaos theoryCustomer relationship managementData mining
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Broader (1)

Statistical classification

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Transfer Learning in Natural Language Processing
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
Enumeration of the Hydrogen-Enhanced Localized Plasticity Mechanism for Hydrogen Embrittlement in Structural Materials
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
Turbulence Modeling in the Age of Data
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
Applied Predictive Modeling
General Strategies.- Regression Models.- Classification Models.- Other Considerations.- Appendix.- References.- Indices. 
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Highly Cited
2008
Highly Cited
2008
Building Predictive Models in R Using the caret Package
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
Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks
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
Predictive human performance modeling made easy
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
Evaluating predictive models of species’ distributions: criteria for selecting optimal models
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
A predictive model of sequential iteration in engineering design
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
Predictive Models for the Breeder Genetic Algorithm I. Continuous Parameter Optimization
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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