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Random forest
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#	Item
371	Motion Binary Patterns for Action Recognition∗ Florian Baumann1 , Jie Liao2 , Arne Ehlers1 and Bodo Rosenhahn1 1 Institut f¨ur Informationsverarbeitung, Leibniz Universit¨at Hannover, Appelstraße 9a, 30167 Hannover Add to Reading List Source URL: www.tnt.uni-hannover.de Language: English - Date: 2014-03-24 04:19:35 Conference on Computer Vision and Pattern Recognition Random forest Feature Computer vision Artificial intelligence Local binary patterns
372	Final Exam: Artificial Intelligence 2: Machine Learning CSCI 4202 Take home exam due on Tuesday, May 4 at 4:00PM Add to Reading List Source URL: www.cs.colorado.edu Language: English - Date: 2004-04-29 13:19:44 Ensemble learning K-nearest neighbor algorithm Statistical classification Random forest Algorithm Support vector machine Machine learning Artificial intelligence Statistics
373	Desai et al. BMC Medicine 2014, 12:20 http://www.biomedcentral.com[removed] Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Medicine Institute for Health Metrics and Evaluation Random forest Geographic information system Autopsy Ihme Epidemiology Death Health Demography Global health
374	Integration of High-Volume Molecular and Imaging Data for Composite Biomarker Discovery in the Study of Melanoma Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Imputation Missing data DNA microarray Random forest Synthetic data Linear discriminant analysis Principal component analysis Statistics Data analysis Multivariate statistics
375	SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Microarrays Formal sciences Ensemble learning Random forest Feature selection DNA microarray Gene expression profiling Bioinformatics Randomness Statistics Machine learning Biology
376	SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Econometrics Analysis of variance Causality Conditionals Economic model Interaction Random forest Cross-validation Feature selection Statistics Model selection Regression analysis
377	IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 29, NO. 2, FEBRUARY[removed] Add to Reading List Source URL: pages.bangor.ac.uk Language: English - Date: 2010-02-09 05:41:08 Ensemble learning Bayesian statistics Voxel Functional magnetic resonance imaging Linear classifier AdaBoost Support vector machine Random forest Naive Bayes classifier Statistics Machine learning Statistical classification
378	An Empirical Evaluation of Supervised Learning in High Dimensions Rich Caruana Add to Reading List Source URL: icml2008.cs.helsinki.fi Language: English - Date: 2008-05-02 12:37:36 Ensemble learning Data analysis Computational statistics Support vector machine Supervised learning K-nearest neighbor algorithm Random forest Active learning Bootstrapping Statistics Machine learning Statistical classification
379	Image Classification using Random Forests and Ferns Anna Bosch Computer Vision Group Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2007-08-19 07:17:27 Vision Histogram of oriented gradients Support vector machine Random forest Statistical classification Object recognition California Institute of Technology Caltech 101 Bag of words model in computer vision Artificial intelligence Computer vision Machine learning
380	Streaming Random Forests by Add to Reading List Source URL: www.collectionscanada.gc.ca Language: English - Date: 2008-09-29 17:01:18 Data mining Artificial intelligence Decision trees Ensemble learning Data management Random forest Concept drift Algorithm Statistical classification Machine learning Computational statistics Learning

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