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Using Locality-Sensitive Hashing for SVM Classification of Large Data Sets.

• Authors : Gonzalez-Lima, Maria D.¹ (AUTHOR) ; Ludeña, Carenne C.² (AUTHOR)

• Source: Mathematics (2227-7390). Jun2022, Vol. 10 Issue 11, p1812-1812. 21p.

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Comparative performance of supertree algorithms in large data sets using the soapberry family (Sapindaceae) as a case study.

• Authors : Buerki S; Real Jardin Botanico, Department of Biodiversity and Conservation, CSIC, Plaza de Murillo 2, 28014 Madrid, Spain. ; Forest F

Subjects: Classification/Classification/Classification/*methods ; Sapindaceae/Sapindaceae/Sapindaceae/*classification; Algorithms

• Source: Systematic biology [Syst Biol] 2011 Jan; Vol. 60 (1), pp. 32-44. Date of Electronic Publication: 2010 Nov 10.Publisher: Oxford University Press Country of Publication: England NLM ID: 9302532 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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On divide-and-conquer strategies for parsimony analysis of large data sets: Rec-I-DCM3 versus TNT.

• Authors : Goloboff PA; CONICET, Instituto Superior de Entomología, Instituto Miguel Lillo, Tucumán, Argentina. ; Pol D

Subjects: Algorithms*; Classification/Classification/Classification/*methods ; Computational Biology/Computational Biology/Computational Biology/*methods

• Source: Systematic biology [Syst Biol] 2007 Jun; Vol. 56 (3), pp. 485-95.Publisher: Oxford University Press Country of Publication: England NLM ID: 9302532 Publication Model: Print Cited Medium: Print ISSN: 1063-5157

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Towards Perceptual Interface for Visualization Navigation of Large Data Sets Using Gesture Recognition with Bezier Curves and Registered 3-D Data

• Authors : Goldgof, D

• Source: Conference: IEEE Workshop on Computer Vision and Pattern Recognition for Human Computer Interaction, Madison, WI (US), 06/17/2003; Other Information: PBD: 20 Mar 2003

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Fast Support Vector Machine Classification for Large Data Sets

• Authors : Xiaoou Li; Wen Yu

Subjects: support vector machine; classification; large data sets

• Source: International Journal of Computational Intelligence Systems, Vol 7, Iss 2 (2014)

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Fast classification for large data sets via random selection clustering and Support Vector Machines.

• Authors : Li, Xiaoou¹; Cervantes, Jair¹; Yu, Wen²

• Source: Intelligent Data Analysis. 2012, Vol. 16 Issue 6, p897-914. 18p.

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Nonlinear clustering-based support vector machine for large data sets.

• Authors : Wang, Yongqiao¹ (AUTHOR); Zhang, Xun² (AUTHOR); Wang, Souyang² (AUTHOR)

• Source: Optimization Methods & Software. Aug2008, Vol. 23 Issue 4, p533-549. 17p. 2 Diagrams, 5 Charts, 1 Graph.

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Data selection based on decision tree for SVM classification on large data sets

• Authors : Cervantes Canales, Jair; 101829; García Lamont, Farid

Subjects: SVM; Classification; Large data sets

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Data selection based on decision tree for SVM classification on large data sets

• Authors : Jair Cervantes Canales; Farid García Lamont; ASDRUBAL LOPEZ CHAU

Subjects: SVM; Classification; Large data sets

• Source: 1568-4946.

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A Wrapper-Based Feature Selection for Analysis of Large Data Sets

• Authors : Leng, Jinsong; Valli, Craig; Armstrong, Leisa

Subjects: Data Mining; Feature Selection; Genetic Algorithm

• Source: Research outputs pre 2011

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