Ensemble learning

Results: 532



#Item
41Genome Informatics 13: 51–A Comparative Study on Feature Selection and Classification Methods Using Gene Expression Profiles

Genome Informatics 13: 51–A Comparative Study on Feature Selection and Classification Methods Using Gene Expression Profiles

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Source URL: www.jsbi.org

Language: English - Date: 2002-12-09 05:53:38
42MORPHOLOGICAL 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

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

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Source URL: homes.soic.indiana.edu

Language: English - Date: 2015-05-06 17:19:49
43Package ‘ipred’ July 28, 2015 Title Improved Predictors VersionDateDescription Improved predictive models by indirect classification and

Package ‘ipred’ July 28, 2015 Title Improved Predictors VersionDateDescription Improved predictive models by indirect classification and

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Source URL: cran.r-project.org

Language: English - Date: 2015-07-28 16:41:26
44Image and Vision Computing–61  Contents lists available at ScienceDirect Image and Vision Computing journal homepage: www.elsevier.com/locate/imavis

Image and Vision Computing–61 Contents lists available at ScienceDirect Image and Vision Computing journal homepage: www.elsevier.com/locate/imavis

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Source URL: ibug.doc.ic.ac.uk

Language: English - Date: 2015-11-12 06:27:17
45SUBMITTED FOR PUBLICATION TO: , JUNE 30, Multi-Camera Face Recognition by Reliability-Based Selection

SUBMITTED FOR PUBLICATION TO: , JUNE 30, Multi-Camera Face Recognition by Reliability-Based Selection

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Source URL: vast.uccs.edu

Language: English - Date: 2007-02-17 09:44:02
46Vision-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

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

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Source URL: www.ri.cmu.edu

Language: English - Date: 2010-05-18 15:43:25
47Multi-label Classification with Meta-labels Jesse Read Antti Puurula  Albert Bifet

Multi-label Classification with Meta-labels Jesse Read Antti Puurula Albert Bifet

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Source URL: perso.telecom-paristech.fr

Language: English
48Identifying active travel behaviors in challenging environments using GPS, accelerometers, and machine learning algorithms

Identifying active travel behaviors in challenging environments using GPS, accelerometers, and machine learning algorithms

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Source URL: eceweb.ucsd.edu

Language: English - Date: 2015-07-31 19:00:26
49Two-Stage Part-Based Pedestrian Detection

Two-Stage Part-Based Pedestrian Detection

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Source URL: cvrr.ucsd.edu

Language: English - Date: 2012-09-25 16:03:40
50A General Framework for Learning an Ensemble of Decision Rules Krzysztof Dembczyński1 , Wojciech Kotłowski1 , and Roman Słowiński1,2 1  2

A General Framework for Learning an Ensemble of Decision Rules Krzysztof Dembczyński1 , Wojciech Kotłowski1 , and Roman Słowiński1,2 1 2

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Source URL: www.ke.tu-darmstadt.de

Language: English - Date: 2009-11-06 11:55:58