Investigating the impact of hubness on SVM classifiers :

Investigating the impact of hubness on SVM classifiers : μεταπτυχιακή διατριβή

Support Vector Machines is a well known classification algorithm. Its very good performance has been proven theoretically and observed in real life data sets. Recent works have demonstrated the existence of hubs in high dimensional spaces. Hubs are points that are very popular among other points. Th...

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Bibliographic Details
Main Author: Κουϊμτζής, Γεώργιος
Corporate Author: Πανεπιστήμιο Αιγαίου. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Πληροφοριακών και Επικοινωνιακών Συστημάτων. Π.Μ.Σ. Τεχνολογίες και Διοίκηση Πληροφοριακών και Επικοινωνιακών Συστημάτων
Format: Thesis Book
Language:English
Published: 2011.
Subjects:
University of the Aegean > Dissertations.
Support vector machines.
Dissertations, Academic > Greece.
Online Access:http://hdl.handle.net/11610/12556
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http://hdl.handle.net/11610/12556

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