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The Learning Tree
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#	Item
21	Mastering the Game of Go with Deep Neural Networks and Tree Search David Silver1 , Aja Huang1 , Chris J. Maddison1 , Arthur Guez1 , Laurent Sifre1 , George van den Driessche1 , Julian Schrittwieser1 , Ioannis Antonoglo Add to Reading List Source URL: gogameguru.com Language: English - Date: 2016-03-04 05:06:20 Machine learning Computer Go Computational neuroscience Artificial intelligence Go software AlphaGo Convolutional neural network Monte Carlo tree search Reinforcement learning Artificial neural network Monte Carlo method Google DeepMind
22	Maple Learning Activity 1 How Sweet Is Maple Sap? Maple sap as it comes from the tree in the woods has about 2% sugar. At this level it does not taste sweet to most people. Maple sap can commonly range from as low as .5% Add to Reading List Source URL: www.nysmaple.com Language: English - Date: 2015-07-01 12:47:58
23	The Annals of Applied Statistics 2014, Vol. 8, No. 3, 1750–1781 DOI: AOAS755 © Institute of Mathematical Statistics, 2014 VARIABLE SELECTION FOR BART: AN APPLICATION Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2015-10-29 18:32:57 Statistics Statistical inference Estimation theory Regression analysis Nonparametric regression Linear regression Machine learning Stepwise regression Decision tree learning Spike-and-slab variable selection Omnibus test
24	Tropical Banyan Tree Playground Learning Guide Everyone head for the Banyan Tree! Geared for 5-12 year olds, this section of the playground provides an excellent backdrop for discussing animal adaptations, acting out ani Add to Reading List Source URL: www.sfzoo.org Language: English
25	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: www.citydigits.org Language: English - Date: 2016-01-13 14:16:54 Teaching Education Learning Cognition Outcome Probability Decision tree Lesson Randomness
26	Automatically and Efficiently Inferring the Hierarchical Structure of Visual Maps Margarita Chli and Andrew J. Davison Imperial College London, London SW7 2AZ, UK {mchli,ajd}@doc.ic.ac.uk Add to Reading List Source URL: www.margaritachli.com Language: English - Date: 2011-06-29 13:31:57 Artificial intelligence ChowLiu tree Knowledge representation Mutual information Simultaneous localization and mapping Pattern recognition Machine learning Cognition Cognitive science
27	Improving the Efficiency of Dynamic Programming on Tree Decompositions via Machine Learning Add to Reading List Source URL: ijcai.org Language: English - Date: 2016-03-04 23:21:50
28	Tropical Banyan Tree Playground Learning Guide Everyone head for the Banyan Tree! Geared for 5-12 year olds, this section of the playground provides an excellent backdrop for discussing animal adaptations, acting out ani Add to Reading List Source URL: sfzoo.worldsecuresystems.com Language: English
29	ROBERTO BATTITI, MAURO BRUNATO. The LION Way: Machine Learning plus Intelligent Optimization. LIONlab, University of Trento, Italy, Apr 2015 http://intelligentoptimization.org/LIONbook Add to Reading List Source URL: intelligent-optimization.org Language: English - Date: 2015-10-06 09:20:21 Roberto Battiti Software Decision tree Hierarchical and recursive queries in SQL Hierarchy Tree Form Computing
30	The DeepTree Exhibit: Visualizing the Tree of Life to Facilitate Informal Learning Florian Block, Michael S. Horn, Brenda Caldwell Phillips, Judy Diamond, E. Margaret Evans, Evans and Chia Shen, Senior Member, IEEE Add to Reading List Source URL: tidal.sesp.northwestern.edu Language: English - Date: 2015-02-21 01:40:30

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