seminars:datasci:210504 [Department of Mathematics and Statistics, Binghamton University]

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<WRAP centeralign>##Data Science Seminar##\\ Hosted by Department of Mathematical Sciences</WRAP>

  * Date: Tuesday, May 4, 2021
  * Time: 12:00pm -- 1:00pm
  * Room: Zoom meeting
  * Speaker: Zhou Wang (Binghamton University)
  * Title: Multiclass Anomaly Detector: the CS++Support Vector Machine

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<WRAP centeralign>**//Abstract//**</WRAP>
A new support vector machine (SVM) variant, called CS++SVM, is presented
combining multiclass classification and anomaly detection in a single-step process to
create a trained machine that can simultaneously classify test data belonging to
classes
represented in the training set and label as anomalous test data belonging to
classes not
represented in the training set. A theoretical analysis of the properties of the new
method, showing how it combines properties inherited both from the
conic-segmentation SVM
(CS-SVM) and the 1-class SVM. Finally, experimental results are presented to
demonstrate
the effectiveness of the algorithm for both simulated and real-world data.

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