Random forest

Results: 386



#Item
241Computer vision / Image processing / Bayesian statistics / Segmentation / Naive Bayes classifier / Feature selection / Pattern recognition / Random forest / Statistical classification / Statistics / Machine learning / Dimension reduction

International Journal of Computer Applications (0975 – 8887) Volume 77– No.*, september 2013 Classification of the Lung Diseases from CT Scans by Advanced Segmentation Techniques using Genetic Algorithm

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Source URL: research.ijcaonline.org

Language: English - Date: 2013-09-25 11:01:14
242Computational statistics / Resampling / Bootstrapping / GESS / Random forest / K-nearest neighbor algorithm / Principal component analysis / Regression analysis / Statistics / Statistical inference / Data analysis

PDF Document

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Source URL: media.wiley.com

Language: English - Date: 2012-03-15 07:17:04
243Theoretical computer science / Connectivity / Graph / Random graph / Chromatic polynomial / Graph theory / Mathematics / Combinatorics

Mean-field forest-fire models James Martin Department of Statistics University of Oxford Joint work with Bal´azs R´ath (UBC)

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Source URL: www.newton.ac.uk

Language: English - Date: 2014-05-31 12:48:11
244Stratification / Sample size determination / Forest inventory / Forest / Random sample / Statistics / Sampling / Stratified sampling

Can a Forest/Nonforest Change Map Improve the Precision of Forest Area, Volume, Growth, Removals, and Mortality Estimates? Dale D. Gormanson, Mark H. Hansen, and Ronald E. McRoberts1 Abstract.—In an extensive forest in

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Source URL: www.nrs.fs.fed.us

Language: English - Date: 2006-03-28 15:54:52
245Ensemble learning / Parts of speech / Naive Bayes classifier / Linear discriminant analysis / Boosting / Support vector machine / Classifier / Perceptron / Random forest / Statistics / Machine learning / Statistical classification

Journal of Machine Learning Research[removed]3181 Submitted 11/13; Revised 4/14; Published[removed]Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?

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Source URL: jmlr.csail.mit.edu

Language: English - Date: 2014-11-02 15:45:55
246Search algorithms / R-tree / K-d tree / K-nearest neighbor algorithm / Tree traversal / Random forest / Supervised learning / Tango tree / Interval tree / Machine learning / Artificial intelligence / Mathematics

The Boundary Forest Algorithm for online supervised and unsupervised learning Charles Mathy Nate Derbinsky Disney Research Boston Wentworth Institute of Technology

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Source URL: www.disneyresearch.com

Language: English - Date: 2015-01-19 20:27:41
247Statistics / Computer vision / Ensemble learning / Binary trees / Image processing / Random forest / Object recognition / Feature selection / Segmentation / Machine learning / Artificial intelligence / Decision trees

Combining Randomization and Discrimination for Fine-Grained Image Categorization Bangpeng Yao∗ Aditya Khosla∗ Li Fei-Fei Computer Science Department, Stanford University, Stanford, CA

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Source URL: vision.stanford.edu

Language: English - Date: 2013-09-22 18:20:29
248Learning / Computational statistics / Random forest / Statistical classification / Classifier / Speech recognition / Random subspace method / Book:Machine Learning - The Complete Guide / Ensemble learning / Artificial intelligence / Machine learning

Ensemble machine learning methods for acoustic modeling of speech Yunxin Zhao Professor, Department of Computer Science University of Missouri, Columbia MO, USA

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Source URL: research.microsoft.com

Language: English - Date: 2009-01-03 02:52:26
249Econometrics / Decision trees / Random forest / Statistical classification / Matrix / Errors and residuals in statistics / Statistics / Regression analysis / Machine learning

Package ‘HPdclassifier’ January 20, 2015 Type Package Title Distributed classifiers for Big Data Version[removed]Date[removed]

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Source URL: my.vertica.com

Language: English - Date: 2015-01-20 16:48:52
250Planetary science / LIDAR / Remote sensing / Random forest / Topography / Feature selection / Photogrammetry / Geographic information system / Cartography / Machine learning / Earth

In: Bretar F, Pierrot-Deseilligny M, Vosselman G (Eds) Laser scanning 2009, IAPRS, Vol. XXXVIII, Part 3/W8 – Paris, France, September 1-2, 2009 Contents Keyword index Author index AIRBORNE LIDAR FEATURE SELECTION FOR

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Source URL: recherche.ign.fr

Language: English - Date: 2014-04-08 09:02:16
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