Making a Neural Network learn to say Don't Know

dc.contributor.authorRoy, Laltu
dc.date.accessioned2021-07-12T06:22:27Z
dc.date.available2021-07-12T06:22:27Z
dc.date.issued2020-07
dc.descriptionDissertation under the supervision of Prof. Nikhil R. Pal, Professor, ECSU,en_US
dc.description.abstractClassi cation problem is a popular topic within machine learning community. One of the major problem in classi cation task is how to handle incoming patterns which are unusual and di erent in some measure. For such novel input the classi er should be able to distinguish them as unknown type and don't make any decision. In this work we try to address that problem.en_US
dc.identifier.citation16p.en_US
dc.identifier.urihttp://hdl.handle.net/10263/7162
dc.language.isoenen_US
dc.publisherIndian Statistical Institute, Kolkataen_US
dc.relation.ispartofseriesDissertation;;2020-10
dc.subjectGenerative Adversarial Networksen_US
dc.subjectNovelty Detectionen_US
dc.titleMaking a Neural Network learn to say Don't Knowen_US
dc.typeOtheren_US

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