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  Information Theoretic Supervised Feature Selection for Continuous Data

Mandros, P. (2015). Information Theoretic Supervised Feature Selection for Continuous Data. Master Thesis, Universität des Saarlandes, Saarbrücken.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0029-BAF3-F Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-0757-5
Genre: Thesis

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2015_Mandros, Panagiotis_MSc Thesis.pdf (Any fulltext), 2MB
 
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 Creators:
Mandros, Panagiotis1, 2, Author           
Weikum, Gerhard2, Advisor           
Vreeken, Jilles2, Referee           
Affiliations:
1International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551              
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Language(s): eng - English
 Dates: 2015-09-302015
 Publication Status: Issued
 Pages: 67 p.
 Publishing info: Saarbrücken : Universität des Saarlandes
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: MandrosMaster2015
 Degree: Master

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