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Ensemble learning
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#	Item
41	Genome Informatics 13: 51–A Comparative Study on Feature Selection and Classification Methods Using Gene Expression Profiles Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2002-12-09 05:53:38 Machine learning Artificial intelligence Learning Statistical classification Search algorithms Model selection Ensemble learning Support vector machine K-nearest neighbors algorithm Feature selection Pattern recognition Polynomial kernel
42	MORPHOLOGICAL CLASSIFICATION OF GALAXIES INTO SPIRALS AND NON-SPIRALS Devendra Singh Dhami Submitted to the faculty of the University Graduate School in partial fulfillment of the requirements for the degree Add to Reading List Source URL: homes.soic.indiana.edu Language: English - Date: 2015-05-06 17:19:49 Machine learning Artificial intelligence Ensemble learning Learning Extragalactic astronomy Boosting Hubble sequence AdaBoost Deep learning Galaxy morphological classification Galaxy Weka
43	Package ‘ipred’ July 28, 2015 Title Improved Predictors VersionDateDescription Improved predictive models by indirect classification and Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2015-07-28 16:41:26 Statistics Machine learning Ensemble learning Computational statistics Statistical inference Decision trees Bootstrap aggregating Random forest Bootstrapping Resampling Out-of-bag error Leo Breiman
44	Image and Vision Computing–61 Contents lists available at ScienceDirect Image and Vision Computing journal homepage: www.elsevier.com/locate/imavis Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2015-11-12 06:27:17 Face recognition Ensemble learning Surveillance Statistical models Face detection Boosting Latent variable Facial recognition system ViolaJones object detection framework
45	SUBMITTED FOR PUBLICATION TO: , JUNE 30, Multi-Camera Face Recognition by Reliability-Based Selection Add to Reading List Source URL: vast.uccs.edu Language: English - Date: 2007-02-17 09:44:02 Face recognition Ensemble learning Boosting Face detection Pattern recognition Eigenface AdaBoost Facial recognition system Linear discriminant analysis Reliability engineering K-nearest neighbors algorithm ViolaJones object detection framework
46	Vision-based Bicyclist Detection and Tracking for Intelligent Vehicles Hyunggi Cho, Paul E. Rybski and Wende Zhang Abstract— This paper presents a vision-based framework for intelligent vehicles to detect and track peo Add to Reading List Source URL: www.ri.cmu.edu Language: English - Date: 2010-05-18 15:43:25 Feature detection Ensemble learning Histogram of oriented gradients Pedestrian detection AdaBoost Boosting KanadeLucasTomasi feature tracker Edge detection LucasKanade method Cluster analysis Optical flow Corner detection
47	Multi-label Classification with Meta-labels Jesse Read Antti Puurula Albert Bifet Add to Reading List Source URL: perso.telecom-paristech.fr Language: English Machine learning Statistical classification Classifier chains Multi-label classification Computational neuroscience Support vector machine Artificial neural network Ensemble learning Pattern recognition
48	Identifying active travel behaviors in challenging environments using GPS, accelerometers, and machine learning algorithms Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Machine learning Global Positioning System Ensemble learning Supervised learning Random forest K-nearest neighbors algorithm GPS signals Accelerometer GPS navigation device Pattern recognition Statistical classification Support vector machine
49	Two-Stage Part-Based Pedestrian Detection Add to Reading List Source URL: cvrr.ucsd.edu Language: English - Date: 2012-09-25 16:03:40 Feature detection Ensemble learning Statistical classification Histogram of oriented gradients Face recognition Cascading classifiers ViolaJones object detection framework Pedestrian detection Support vector machine Edge detection Alberto Broggi AdaBoost
50	A General Framework for Learning an Ensemble of Decision Rules Krzysztof Dembczyński1 , Wojciech Kotłowski1 , and Roman Słowiński1,2 1 2 Add to Reading List Source URL: www.ke.tu-darmstadt.de Language: English - Date: 2009-11-06 11:55:58 Generalized functions Smooth functions Ensemble learning Gradient boosting Distribution Loss function Gradient descent Mathematical optimization Logarithm operator Dirac delta function

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