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Decision tree
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#	Item
51	Comparing methodologies for developing an early warning system Add to Reading List Source URL: ies.ed.gov Language: English - Date: 2016-05-18 06:58:08 Regression analysis Logistic regression Decision tree learning Regression Predictive analytics Unit-weighted regression
52	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 Language: English - Date: 2012-12-13 10:18:43 Decision trees Pruning Decision tree learning Regression analysis Gradient boosting
53	CE318: High-level Games Development Lecture 9: Game AI: Decision Making Diego Perez Office 3A.527 Add to Reading List Source URL: orb.essex.ac.uk Language: English - Date: 2015-11-30 07:41:54 Decision theory Decision trees Data types Decision tree Tree Binary trees K-ary tree Artificial intelligence Influence diagram R-tree Decision tree learning Binary search tree
54	Dear Extension Friends, January 2009 Guide to Pruning Trees Add to Reading List Source URL: baker.ifas.ufl.edu Language: English - Date: 2009-01-27 14:00:00 Plant morphology Cutting Pruning Trees Plant anatomy Decision trees Tree Arborist Branch collar Fruit tree pruning
55	Trees in the Townscape A Guide for Decision Makers Add to Reading List Source URL: www.treeconomics.co.uk Language: English - Date: 2014-01-14 10:06:59 Reforestation Biophilia hypothesis Urban forestry Urban forest The Big Tree Plant Trees Atlanta
56	Journal of Machine Learning Research–217 Submitted 8/03; Published 2/04 Generalization Error Bounds for Threshold Decision Lists Martin Anthony Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2004-02-19 16:06:51 Artificial neural networks Decision trees Generalization error Perceptron Decision tree model Artificial neuron Statistical classification VC dimension
57	Device Selector ToolAndrew S. Parnell Done while working at Quango Business Objective: Using a decision tree provided by the client, create a web based tool to help customers determine what type of device Add to Reading List Source URL: www.andrewparnell.com Language: English - Date: 2015-01-15 04:08:10
58	WETLANDS, Vol. 26, No. 2, June 2006, pp. 465–474 q 2006, The Society of Wetland Scientists MAPPING WETLANDS AND RIPARIAN AREAS USING LANDSAT ETM1 IMAGERY AND DECISION-TREE-BASED MODELS Corey Baker, Rick Lawrence, Cliff Add to Reading List Source URL: remotesensing.montana.edu Language: English - Date: 2015-02-27 15:20:32 Habitat Aquatic ecology Systems ecology Wetland Water streams Riparian zone Aquatic ecosystem Landscape ecology
59	Run-time Machine Learning for HEVC/H.265 Fast Partitioning Decision Svetislav Momcilovic, Nuno Roma, Leonel Sousa Ivan Milentijevic INESC-ID, IST, Universidade Lisboa Faculty of Electronic Engineering, University of Nis Add to Reading List Source URL: www.inesc-id.pt Language: English - Date: 2016-03-10 05:51:33 Video compression ISO standards MPEG Videotelephony High-definition television High Efficiency Video Coding Coding tree unit H.264/MPEG-4 AVC Video Coding Experts Group Inter frame Video coding format Intra-frame
60	2.2 Counting Outcomes Overview of the lesson plan: Is it necessary to play a game many times to figure out the likelihood of winning? If not, how can we measure this likelihood? In this lesson, students learn that they c Add to Reading List Source URL: citydigits.org Language: English - Date: 2016-01-13 14:16:54 Teaching Probability theory Outcome Probability Decision tree Lesson Randomness

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