Self-taught learning: Implementation using MATLAB

A tétel rövid nézete
dc.contributor.advisorAntal, Bálint
dc.contributor.authorBod, Gergely
dc.contributor.departmentDE--TEK--Informatikai Karhu_HU
dc.date.accessioned2014-01-16T08:39:52Z
dc.date.available2014-01-16T08:39:52Z
dc.date.created2013
dc.date.issued2014-01-16T08:39:52Z
dc.description.abstractSelf-taught learning is a new framework in the domain of machine learning. It has the potential that by using unsupervised learning strategies to automatically learn and extract information and consequently create a succint representation of the given input. I have presented the theoretical underpinnings of the idea and then proceeded to show a possible implementation of the algorithm in the MATLAB programming language. I have also included my experimental results obtained during my research.hu_HU
dc.description.courseprogramtervező informatikushu_HU
dc.description.degreeBSc/BAhu_HU
dc.format.extent39hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/178637
dc.language.isoen_UShu_HU
dc.subjectunsupervised learninghu_HU
dc.subjectmachine learninghu_HU
dc.subjectneural networkhu_HU
dc.subjectautoencoderhu_HU
dc.subject.dspaceDEENK Témalista::Informatika::Alkalmazott matematikahu_HU
dc.subject.dspaceDEENK Témalista::Informatikahu_HU
dc.titleSelf-taught learning: Implementation using MATLABhu_HU
dc.title.translatedÖntanító gépi tanulási módszerek: Implementáció MATLAB nyelvenhu_HU
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Hallgatói dolgozatok (Informatikai Kar)