This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In statisticsprojection pursuit regression (PPR) is a statistical model developed byJerome H. Friedman and Werner Stuetzle which is an extension of additivemodels. This model adapts the additive models in that it first projectsthe data matrix of explanatory variables in the optimal direction beforeapplying smoothing functions to these explanatory variables. The modelconsists of linear combinations of non-linear transformations of linearcombinations of explanatory variables. Both projection pursuitregression and neural networks models project the input vector onto aone-dimensional hyperplane and then apply a nonlinear transformation ofthe input variables that are then added in a linear fashion. Thus bothfollow the same steps to overcome the curse of dimensionality. The maindifference is that the functions fj being fitted in PPR can be differentfor each combination of input variables and are estimated one at a timeand then updated with the weights, whereas is NN these are all specifiedupfront and estimated simultaneously.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 72 pp. Englisch.

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Bibliographic Details

Title: Projection Pursuit Regression
Publisher: Omniscriptum Apr 2026
Publication Date: 2026
Language: English
ISBN 10: 6134609153
ISBN 13: 9786134609159
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 5 millimeters depth
Weight: 125 grams

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