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

First Page		Document Content
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

	ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 13: Maximum Likelihood Estimation DocID: 1vbHd - View Document
	ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 14: Maximum Likelihood and Complexity Regularization Review : Maximum Likelihood Estimation We have n i.i.d observations drawn from an unknown DocID: 1v01G - View Document
	Chapter 3, Part 2 in Model-Based Control: Bridging Rigorous Theory and Advanced Technology, pp, P.M.J. Van den Hof, C. Scherer, P.S.C. Heuberger (Eds.), Springer, USA, 2009 Robust Estimation for Automatic Contro DocID: 1uQPv - View Document
	arXiv:1709.05825v4 [cs.AI] 25 AprRelational Marginal Problems: Theory and Estimation Ondˇrej Kuˇzelka Yuyi Wang DocID: 1uxhi - View Document
	DIRECT INJURY, MYIASIS, FORENSICS Effects of Temperature on Development of Phormia regina (Diptera: Calliphoridae) and Use of Developmental Data in Determining Time Intervals in Forensic Entomology P. D. NABITY, L. G. H DocID: 1rtQp - View Document