Improving Decision Tree Pruning through Automatic Programming Stig-Erland Hansen Roland Olsson

First Page		Document Content
Date: 2007-10-16 02:55:08 Computational statistics Ensemble learning Pruning Decision tree learning Overfitting Boosting Ross Quinlan AdaBoost Algorithm Machine learning Decision trees Artificial intelligence		Improving Decision Tree Pruning through Automatic Programming Stig-Erland Hansen Roland Olsson Add to Reading List Source URL: www.nik.no Download Document from Source Website File Size: 96,65 KB Share Document on Facebook

	Boosting the BGP Convergence in SDXes in SWIFT Philipp Mao, Rüdiger Birkner, Thomas Holterbach, Laurent Vanbever ETH Zürich 1. Motivation 2. SWIFT in a nutshell DocID: 1xUXo - View Document
	Fig 6-Rising mobile Internet and connected device penetration is boosting research opportunities DocID: 1xUf8 - View Document
	Boosting the BGP convergence in SDXes with SWIFT Philipp Mao Rüdiger Birkner ETH Zürich DocID: 1xTI2 - View Document
	UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits DocID: 1xTnq - View Document
	Fig 6-Rising mobile Internet and connected device penetration is boosting research opportunities DocID: 1xT5K - View Document