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Logistic model tree
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#	Item
1	MLSS 2014 – Introduction to Machine Learning Lecture 1 J. Zico Kolter July 7, 2014 Add to Reading List Source URL: www.mlss2014.com Language: English - Date: 2014-07-07 07:00:05 Machine learning Supervised learning Test set MNIST database Overfitting Logistic model tree Statistical learning theory
2	An ensemble of classiﬁers approach with multiple sources of information Roberto Santana, Concha Bielza, Pedro Larrañaga Departamento de Inteligencia Artiﬁcial, Universidad Politécnica de Madrid roberto.santana@upm. Add to Reading List Source URL: www.cis.hut.fi Language: English - Date: 2012-01-05 06:58:35 Machine learning Econometrics Covariance and correlation Correlation and dependence Feature selection Decision tree learning Cross-validation Logistic regression Statistics Regression analysis Model selection
3	Vol. 377: 1–11, 2009 doi: meps07839 MARINE ECOLOGY PROGRESS SERIES Mar Ecol Prog Ser Add to Reading List Source URL: www.int-res.com Language: English Rugosity Logistic regression Akaike information criterion Regression Decision tree learning Economic model Statistics Regression analysis Stepwise regression
4	FAQ ® ►Q1. What is MARS? Multivariate Adaptive Regression Splines was developed in the early 1990s by world-renowned Stanford physicist and statistician Jerome Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-07-26 03:41:01 Decision trees Statistical models Econometrics Decision tree learning Multivariate adaptive regression splines Predictive Model Markup Language Random forest Data mining Logistic regression Statistics Regression analysis Machine learning
5	Journal of Vegetation Science 15: [removed], 2004 © IAVS; Opulus Press Uppsala. - Comparison of statistical methods commonly used in predictive modelling[removed] Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-07-26 03:41:39 Multivariate adaptive regression splines Linear regression Multicollinearity Decision tree learning Additive model Regression model validation Logistic regression Predictive modelling Predictive analytics Statistics Regression analysis Nonparametric regression
6	doi:[removed]j.ecolmodel[removed] Add to Reading List Source URL: wunder.co.nz Language: English - Date: 2007-07-03 07:33:37 Categorical data Machine learning Survival analysis Linear regression Decision tree learning Logistic regression Economic model Statistics Regression analysis Econometrics
7	Syst. Biol. 59(1):9–26, 2010 c The Author(s[removed]Published by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved. For Permissions, please email: journals.permissions@oxfor Add to Reading List Source URL: biology.ucr.edu Language: English - Date: 2009-12-15 13:59:57 Bootstrapping Logistic regression Dummy variable Generalized linear model Normal distribution Phylogenetic tree Correlation and dependence Least squares Variance Statistics Regression analysis Linear regression
8	Package ‘catdata’ November 11, 2014 Type Package Title Categorical Data Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-11-11 11:39:44 Scientific method Actuarial science Econometrics Data analysis Logistic regression Generalized linear model Non-parametric statistics Decision tree learning Count data Statistics Categorical data Regression analysis
9	Microsoft Word - P ramorum v5 BRS rev.doc Add to Reading List Source URL: www.suddenoakdeath.org Language: English - Date: 2010-04-11 03:25:54 Phytophthora Econometrics Logistic regression Decision tree learning Economic model Statistics Sudden oak death Regression analysis
10	Discriminative Transfer Learning with Tree-based Priors Nitish Srivastava Department of Computer Science University of Toronto [removed] Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-11-19 21:11:36 One-shot learning Supervised learning Logistic regression Pattern recognition Statistical classification Hierarchical Bayes model Statistics Machine learning Artificial intelligence