Random forest - PDFSEARCH.IO - Document Search Engine

Random forest
Results: 386

#	Item
171	PDF Document Add to Reading List Source URL: rweb.quant.ku.edu Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
172	PDF Document Add to Reading List Source URL: ftp.sunet.se Language: English - Date: 2009-10-08 13:21:02 Biostatistics Econometrics Statistical models Credit score Data mining Random forest Logistic regression Pruning Recursive partitioning Statistics Regression analysis Decision trees
173	PDF Document Add to Reading List Source URL: ftp.osuosl.org Language: English - Date: 2009-10-08 13:21:02 Biostatistics Econometrics Statistical models Credit score Data mining Random forest Logistic regression Pruning Recursive partitioning Statistics Regression analysis Decision trees
174	PDF Document Add to Reading List Source URL: star-www.st-andrews.ac.uk Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
175	40165_2014_10_Article 1..25 Add to Reading List Source URL: www.decisionanalyticsjournal.com Language: English Machine learning Decision trees Naive Bayes classifier Statistical classification Weka Artificial neural network Sampling Cluster analysis Random forest Statistics Data analysis Data mining
176	Just-In-Time Learning for Fast and Flexible Inference S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli and John Winn Microsoft Research {alie,dtarlow,pkohli,jwinn}@microsoft.com Add to Reading List Source URL: arkitus.com Language: English - Date: 2014-10-29 14:57:41 Bayesian statistics Econometrics Statistical theory Polynomial regression Belief propagation Logistic regression Random forest Gaussian process Bayesian inference Statistics Regression analysis Statistical inference
177	Introduction to Boosted Trees Tianqi Chen Oct Outline • Review of key concepts of supervised learning Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-05-06 23:13:25 Econometrics Decision trees Ensemble learning Supervised learning Regularization Gradient boosting Linear regression Logistic regression Random forest Statistics Regression analysis Machine learning
178	Computer Science “Professor Zhou’s book is a comprehensive introduction to ensemble methods in machine learning. It reviews the latest research in this exciting area. I learned a lot reading it!” —Thomas G. Diet Add to Reading List Source URL: www.islab.ntua.gr Language: English - Date: 2015-02-05 08:23:09 Pattern recognition Supervised learning Semi-supervised learning Neural network Data mining Random forest Computational learning theory Ensemble learning Markov chain Monte Carlo Machine learning Artificial intelligence Learning
179	Implementing Decision Trees and Forests on a GPU Toby Sharp Microsoft Research, Cambridge, UK Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-07-27 08:07:00 Computing Image processing Shader Segmentation High Level Shader Language Microsoft Direct3D Random forest Shading language Histogram Computer graphics 3D computer graphics Shading
180	Application of machine learning methods to spatial interpolation of environmental variables Add to Reading List Source URL: www.islab.ntua.gr Language: English - Date: 2015-02-05 08:18:26 Econometrics Data analysis Decision trees Kriging Regression analysis Data mining Variogram Linear regression Random forest Statistics Interpolation Geostatistics

UPDATE