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… (More)
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23 relations
BiostatisticsChaos theoryCustomer relationship managementData mining
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Broader (1)

Statistical classification

Papers overview

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Review
2018
Review
2018
Soundscape descriptors and a conceptual framework for developing predictive soundscape models
Soundscape exists through human perception of the acoustic environment. This paper investigates how soundscape currently is… (More)
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Review
2017
Review
2017
Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available… (More)
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Highly Cited
2014
Highly Cited
2014
Performance-optimized hierarchical models predict neural responses in higher visual cortex.
The ventral visual stream underlies key human visual object recognition abilities. However, neural encoding in the higher areas… (More)
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Highly Cited
2014
Highly Cited
2014
Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors
Context-predicting models (more commonly known as embeddings or neural language models) are the new kids on the distributional… (More)
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Highly Cited
2009
Highly Cited
2009
Predicting tie strength with social media
Social media treats all users the same: trusted friend or total stranger, with little or nothing in between. In reality… (More)
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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… (More)
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Highly Cited
2006
Highly Cited
2006
Dynamic topic models
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections… (More)
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Highly Cited
2005
Highly Cited
2005
Maximum entropy modeling of species geographic distributions
  • Steven J. Phillipsa, Robert P. Andersonb, Robert E. Schapired
  • 2005
The availability of detailed environmental data, together with inexpensive and powerful computers, has fueled a rapid increase in… (More)
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Highly Cited
2002
Highly Cited
2002
Evaluating predictive models of species ’ distributions : criteria for selecting optimal models
The Genetic Algorithm for Rule-Set Prediction (GARP) is one of several current approaches to modeling species’ distributions… (More)
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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… (More)
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