Additive model

Known as: Additive, Additive models 
In statistics, an additive model (AM) is a nonparametric regression method. It was suggested by Jerome H. Friedman and Werner Stuetzle (1981) and is… (More)
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Papers overview

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Review
2017
Review
2017
Article history: Received 4 May 2016 Received in revised form 3 January 2017 Accepted 4 January 2017 Available online 19 January… (More)
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Review
2017
Review
2017
This paper provides an overview on the main additive manufacturing/3D printing technologies suitable for many satellite… (More)
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Highly Cited
2010
Highly Cited
2010
We develop a Bayesian “sum-of-trees” model where each tree is constrained by a prior to be a weak leaner. Fitting and inference… (More)
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Highly Cited
2009
Highly Cited
2009
We present a new class of methods for high dimensional non-parametric regression and classification called sparse additive models… (More)
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Highly Cited
2008
Highly Cited
2008
In commonly used functional regression models, the regression of a scalar or functional response on the functional predictor is… (More)
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Highly Cited
2007
Highly Cited
2007
We present a new class of models for high-dimensional nonparametric regression and classification called sparse additive models… (More)
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Highly Cited
2000
Highly Cited
2000
Boosting is one of the most important recent developments in classification methodology. Boosting works by sequentially applying… (More)
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Highly Cited
1997
Highly Cited
1997
In order to face with the complexity of discrete fuzzy measures, we propose the concept of k-order additive fuzzy measure… (More)
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Highly Cited
1989
Highly Cited
1989
We study linear smoothers and their use in building non-parametric regression models. In part Qf this paper we examine certain… (More)
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Highly Cited
1989
Highly Cited
1989
A simple method is presented for fitting nonlinear regression models. Despite its simplicity or perhaps because of it the method… (More)
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