Deep state-space models: Combining deep learning and Bayesian filtering

dc.contributor	Aalto-yliopisto	fi
dc.contributor	Aalto University	en
dc.contributor.advisor	Struckmeier, Oliver
dc.contributor.author	Reinikka, Paavo
dc.contributor.school	Sähkötekniikan korkeakoulu	fi
dc.contributor.supervisor	Turunen, Markus
dc.date.accessioned	2020-09-29T08:11:05Z
dc.date.available	2020-09-29T08:11:05Z
dc.date.issued	2020-08-26
dc.format.extent	6+34
dc.format.mimetype	application/pdf	en
dc.identifier.uri	https://aaltodoc.aalto.fi/handle/123456789/46702
dc.identifier.urn	URN:NBN:fi:aalto-202009295626
dc.language.iso	en	en
dc.programme	Sähkötekniikan kandidaattiohjelma	fi
dc.programme.major	Elektroniikka ja sähkötekniikka	fi
dc.programme.mcode	ELEC3013	fi
dc.subject.keyword	deep learning	en
dc.subject.keyword	representation learning	en
dc.subject.keyword	state-space model	en
dc.subject.keyword	generative sequence model	en
dc.subject.keyword	deep Bayesian filtering	en
dc.subject.keyword	variational autoencoder	en
dc.title	Deep state-space models: Combining deep learning and Bayesian filtering	en
dc.type	G1 Kandidaatintyö	fi
dc.type.dcmitype	text	en
dc.type.ontasot	Bachelor's thesis	en
dc.type.ontasot	Kandidaatintyö	fi

Files

Now showing 1 - 1 of 1

Aalto login required (access for Aalto Staff only).