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Decision tree learning
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#	Item
151	An Empirical Comparison of Techniques for Handling Incomplete Data Using Decision Trees BHEKISIPHO TWALA Modelling and Digital Intelligence, CSIR, P O Box 395, Pretoria 0001, South Africa ________________________________ Add to Reading List Source URL: researchspace.csir.co.za Language: English - Date: 2011-01-28 14:41:17 Machine learning Decision trees Imputation Data mining Decision tree learning Data set Expectation–maximization algorithm Supervised learning Censoring Statistics Data analysis Missing data
152	Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation Add to Reading List Source URL: www.aaai.org Language: English - Date: 2006-01-11 02:16:24 Computational statistics Formal sciences Learning Data analysis Cybernetics Hierarchy Decision tree learning Knowledge representation and reasoning Database Machine learning Science Data mining
153	From: Proceedings of the Third International Conference on Multistrategy Learning. Copyright © 1996, AAAI (www.aaai.org). All rights reserved. Fusing the Results of Diverse Algorithms John F. Elder IV, Ph.D. Elder Cons Add to Reading List Source URL: www.aaai.org Language: English - Date: 2006-01-11 11:06:53 Artificial intelligence Computational neuroscience Computational statistics Decision trees Decision tree learning Perceptron K-nearest neighbor algorithm Statistical classification Group method of data handling Machine learning Statistics Neural networks
154	[removed]Machine Learning, Spring 2011: Homework 1 Solution February 1, 2011 Instructions There are 3 questions on this assignment. The last question involves coding. Attach your code to the writeup. Please submit your hom Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-02-03 13:54:19 Decision trees Poisson processes Pruning Poisson distribution Kullback–Leibler divergence Tree Normal distribution Weight Gamma distribution Statistics Mathematical analysis Mathematics
155	Journal of Machine Learning Research[removed]1695 Submitted 1/10; Revised 11/10; Published 5/11 X -Armed Bandits S´ebastien Bubeck Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2011-06-28 04:19:16 Artificial intelligence Detection theory Game theory Minimax Binary tree Multi-armed bandit Regret Statistics Decision theory Mathematics
156	Combining Recursive Partitioning and Uncertain Reasoning for Data Exploration and Characteristic Prediction Add to Reading List Source URL: www.aaai.org Language: English - Date: 2006-01-11 05:39:55 Statistical classification Statistical inference Bayesian network Naive Bayes classifier Bayesian inference Decision tree learning Probabilistic logic Classification rule Pattern recognition Statistics Machine learning Bayesian statistics
157	Failure Diagnosis Using Decision Trees Mike Chen, Alice X. Zheng, Jim Lloyd, Michael I. Jordan, Eric Brewer University of California at Berkeley and eBay Inc. {mikechen, alicez, jordan, brewer}@cs.berkeley.edu, jlloyd@eb Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2004-09-13 01:14:21 Pruning Artificial intelligence Learning C4.5 algorithm Decision trees Computational statistics Decision tree learning
158	This file was created by scanning the printed publication. Text errors identified by the software have been corrected: however some errors may remain. Mapping wildland fuels and forest structure for land management: a co Add to Reading List Source URL: www.fs.fed.us Language: English - Date: 2013-03-28 14:45:20 Science Ecology Fire Natural hazards Occupational safety and health Leaf Area Index Fuel model Decision tree learning Wildfire Statistics Biology Ecological succession
159	Estimating the Effect of Word of Mouth on Churn and Cross-Buying in the Mobile Phone Market with Markov Logic Networks Torsten Dierkes and Martin Bichler* Department of Informatics, TU München, Germany Ramayya Krishnan Add to Reading List Source URL: dss.in.tum.de Language: English - Date: 2011-01-10 10:15:53 Business intelligence Marketing Statistical relational learning Data mining Predictive modelling Customer lifetime value Decision tree learning Churn rate Probabilistic logic Statistics Statistical models Machine learning
160	Bayesian network data imputation with application to survival tree analysis Paola M.V. Rancoitaa,b,c,∗, Marco Zaffalonb , Emanuele Zuccad , Francesco Bertonic,d , Cassio P. de Campose a University Centre for Statistics Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2014-12-24 05:18:47 Data analysis Bayesian statistics Regression analysis Imputation Bayesian network Proportional hazards models Expectation–maximization algorithm Decision tree learning Statistical power Statistics Statistical models Missing data

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