Investigating the impact of hubness on SVM classifiers

Investigating the impact of hubness on SVM classifiers

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: Κουιμτζής, Γεώργιος - Αθανάσιος
Other Authors: Σταματάτος, Ευστάθιος
Language:English
Published: 2015
Subjects:
Hubs
Hubness
Bad hubs
Hubness ratio
SVM
Support vector machines
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