Random forest

Results: 386



#Item
221Cartography / Earth sciences / Planetary science / Pruning / LIDAR / Random forest / Vine training / Silviculture / Remote sensing / Decision trees / Earth / Geography

Detecting pruning of individual stems using Airborne Laser Scanning data captured from an Unmanned Aerial Vehicle

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Source URL: www.lucieer.net

Language: English - Date: 2014-11-24 00:21:32
222Decision 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

FAQ ® ►Q1. What is MARS? Multivariate Adaptive Regression Splines was developed in the early 1990s by world-renowned Stanford physicist and statistician Jerome

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Source URL: media.salford-systems.com

Language: English - Date: 2013-07-26 03:41:01
223Non-parametric statistics / Regression analysis / Data analysis / Nonparametric regression / Boosting / Random forest / Bootstrapping / Cross-validation / Statistics / Ensemble learning / Statistical inference

COURSE TITLE: SC15 - Data Mining, Machine Learning, and Business Analytics DURATION: 1 day DATE AND TIME: Sat.25 VENUE: IBGE Dissemination Centre REGISTRATION FEE: Developed Country: € 180

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Source URL: www.isi2015.org

Language: English - Date: 2015-02-10 12:43:49
224Ensemble learning / AdaBoost / Classifier / Naive Bayes classifier / Boosting / Multiclass classification / Binary classification / Support vector machine / Random forest / Machine learning / Statistics / Statistical classification

Empirical Investigation of Multi-tier Ensembles for the Detection of Cardiac Autonomic Neuropathy Using Subsets of the Ewing Features J. Abawajy1 , A.V. Kelarev1 , A. Stranieri2 , H.F. Jelinek3 1

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Source URL: ceur-ws.org

Language: English - Date: 2012-11-26 06:31:24
225Statistical mechanics / Brownian motion / Colloidal chemistry / Fractals / Robert Brown / Random walk / Forest-fire model / Particle Data Group / Statistics / Stochastic processes / Probability and statistics

PHYSICAL REVIEW E VOLUME 54, NUMBER 1 JULY 1996

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Source URL: www.barabasilab.com

Language: English - Date: 2008-04-11 15:52:18
226Artificial intelligence / Learning / Random forest / Boosting / Regression analysis / Gradient boosting / Ensemble learning / Statistics / Decision trees

Boosting Flexible Learning Ensembles with Dynamic Feature Selection Alexander Borisov, Victor Eruhimov, Eugene Tuv ∗

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Source URL: clopinet.com

Language: English - Date: 2003-12-10 08:57:10
227Statistical classification / Parts of speech / Ensemble learning / Linear classifier / Support vector machine / Supervised learning / Classifier / Random forest / Accelerometer / Machine learning / Statistics / Artificial intelligence

Feature engineering for semantic place prediction

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Source URL: dl.dropboxusercontent.com

Language: English
228Learning / Ensemble learning / Dimension reduction / Feature selection / Random forest / Statistical classification / Cross-validation / Statistics / Machine learning / Model selection

RF + RLSC Kari Torkkola Eugene Tuv

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Source URL: clopinet.com

Language: English - Date: 2003-12-15 18:03:14
229Scientific modeling / Economic geology / Geologic map / Geomorphology / Geologic modelling / Random forest / Machine learning / Geology / Science

Objectively assessing geological maps using machine learning Matt Cracknell, Anya Reading & Andrew McNeill Cracknell, Reading & McNeill, 2014, Mapping geology and volcanic-hosted massive sulphide alteration in the Hellye

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Source URL: www.tasmanianmining.com.au

Language: English
230Scientific modeling / Fisheries science / Cartography / Geography / Geostatistics / Spatial analysis / Data mining / Economic model / Scientific modelling / Statistics / Science / Information

20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Predicting the spatial distribution of seabed gravel content using random forest, spatial int

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-11-19 22:01:46
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