Entropy Triangles: An application to measuring the transmission of entropy in Autoencoders

Luis García, Adrián Manuel de

Publication:
Entropy Triangles: An application to measuring the transmission of entropy in Autoencoders

dc.contributor.advisor	Valverde Albacete, Francisco José
dc.contributor.author	Luis García, Adrián Manuel de
dc.contributor.departamento	UC3M. Departamento de Teoría de la Señal y Comunicaciones	es
dc.date.accessioned	2020-04-20T07:54:27Z
dc.date.available	2020-04-20T07:54:27Z
dc.date.issued	2019-10
dc.date.submitted	2019-10-14
dc.description.abstract	The aim of this Bachelor’s Thesis is to test the functionalities of the Entropy Trian- gle. The Entropy Triangle is a tool designed to analyse the fow of information on a variable after it has been processed by means of a transformation, a classifcation, or any other type method that may have shaped its informational characteristics. The appropri- ate environment has been created with the objective to obtain an accurate profle of such properties, selecting three diferent datasets with a wide variety of traits that allow for our tool to display its more interesting features. The experiments performed include an in-depth analysis of their results and its impacts on the data science feld.	es
dc.description.degree	Ingeniería en Tecnologías de Telecomunicación	es
dc.identifier.uri	https://hdl.handle.net/10016/30147
dc.language.iso	eng	es
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 España	*
dc.rights.accessRights	open access	es
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	*
dc.subject.eciencia	Telecomunicaciones	es
dc.subject.other	Deep Neural Networks	es
dc.subject.other	Information Bottleneck	es
dc.subject.other	Autoencoder	es
dc.subject.other	Entropy Triangle	es
dc.subject.other	Classifcation	es
dc.subject.other	Data Science	es
dc.title	Entropy Triangles: An application to measuring the transmission of entropy in Autoencoders	es
dc.type	bachelor thesis	*
dspace.entity.type	Publication