<--- Back to Details
First PageDocument Content
Regression analysis / Statistics / Estimation theory / Nonparametric statistics / Parametric statistics / Polynomial regression / Local regression / Decision tree learning / Kernel regression / Ordinary least squares / Nonparametric regression / Linear regression
Date: 2012-12-13 10:18:43
Regression analysis
Statistics
Estimation theory
Nonparametric statistics
Parametric statistics
Polynomial regression
Local regression
Decision tree learning
Kernel regression
Ordinary least squares
Nonparametric regression
Linear regression

Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model

Add to Reading List

Source URL: www.dcc.fc.up.pt

Download Document from Source Website

File Size: 567,97 KB

Share Document on Facebook

Similar Documents

Just-In-Time Kernel Regression for Expectation Propagation  Wittawat Jitkrittum1 Arthur Gretton1 Nicolas Heess∗ S. M. Ali Eslami∗

Just-In-Time Kernel Regression for Expectation Propagation Wittawat Jitkrittum1 Arthur Gretton1 Nicolas Heess∗ S. M. Ali Eslami∗

DocID: 1vbc5 - View Document

Kernel Ridge Regression Mohammad Emtiyaz Khan EPFL Oct 27, 2015

Kernel Ridge Regression Mohammad Emtiyaz Khan EPFL Oct 27, 2015

DocID: 1uN0n - View Document

Sequential Bayesian Kernel Regression  Jaco Vermaak, Simon J. Godsill, Arnaud Doucet Cambridge University Engineering Department Cambridge, CB2 1PZ, U.K. {jv211, sjg, ad2}@eng.cam.ac.uk

Sequential Bayesian Kernel Regression Jaco Vermaak, Simon J. Godsill, Arnaud Doucet Cambridge University Engineering Department Cambridge, CB2 1PZ, U.K. {jv211, sjg, ad2}@eng.cam.ac.uk

DocID: 1ugMX - View Document

An Identity for Kernel Ridge Regression Fedor Zhdanov and Yuri Kalnishkan Computer Learning Research Centre and Department of Computer Science, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, United Kingdo

An Identity for Kernel Ridge Regression Fedor Zhdanov and Yuri Kalnishkan Computer Learning Research Centre and Department of Computer Science, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, United Kingdo

DocID: 1u7S4 - View Document

Quantile Regression in Reproducing Kernel Hilbert Spaces Youjuan L I, Yufeng L IU, and Ji Z HU In this article we consider quantile regression in reproducing kernel Hilbert spaces, which we call kernel quantile regressio

Quantile Regression in Reproducing Kernel Hilbert Spaces Youjuan L I, Yufeng L IU, and Ji Z HU In this article we consider quantile regression in reproducing kernel Hilbert spaces, which we call kernel quantile regressio

DocID: 1u7rE - View Document