Chapter 4 O verf itt ing Avoi dance i n Regressi on Trees This chapter describes several approaches that try to avoid overfitting of the training data with too complex trees. In the context of tree-based models these str

First Page		Document Content
Date: 2012-12-13 10:18:43 Decision trees Pruning Decision tree learning Regression analysis Gradient boosting		Chapter 4 O verf itt ing Avoi dance i n Regressi on Trees This chapter describes several approaches that try to avoid overfitting of the training data with too complex trees. In the context of tree-based models these str Add to Reading List Source URL: www.dcc.fc.up.pt Download Document from Source Website File Size: 1,07 MB Share Document on Facebook

	LightGBM: A Highly Efficient Gradient Boosting Decision Tree Guolin Ke1 , Qi Meng2 , Thomas Finley3 , Taifeng Wang1 , Wei Chen1 , Weidong Ma1 , Qiwei Ye1 , Tie-Yan Liu1 1 Microsoft Research 2 Peking University 3 Microsof DocID: 1uDQk - View Document
	McRank: Learning to Rank Using Multiple Classification and Gradient Boosting Ping Li ∗ Dept. of Statistical Science Cornell University DocID: 1tgDg - View Document
	Remote Sensing of Environment – 336 www.elsevier.com/locate/rse Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis Rick Lawrence a DocID: 1rZx7 - View Document
	This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 1 A Comparative Study of Predic DocID: 1q3xl - View Document
	Advanced Root Cause Analysis for Product Quality Improvement using Machine Learning in TIBCO Spotfire GRADIENT BOOSTING MACHINE MODELING Gradient Boosting Machine DocID: 1pU6Y - View Document