Performance evaluation of different machine learning methods applied on churn database

Autor: Rodríguez Suarez, Luís Acoran

The growth of data and its storage is becoming more and more important every day. However, occasionally this information is gathered but never used, or perhaps it is improperly gathered, making the extraction of the insides difficult. As a result, wh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3484::340d9bda91c8c248138b413dd7961c8a
https://hdl.handle.net/2117/375453

Assessing Information Transmission in Data Transformations with the Channel Multivariate Entropy Triangle

Autor: Francisco J. Valverde-Albacete, Carmen Peláez-Moreno

Publikováno v: Entropy, Vol 20, Iss 7, p 498 (2018)

Data transformation, e.g., feature transformation and selection, is an integral part of any machine learning procedure. In this paper, we introduce an information-theoretic model and tools to assess the quality of data transformations in machine lear

Externí odkaz: https://doaj.org/article/86b5550402eb44e981bd5fa219f1d292

Computer evaluation of musical timbre transfer on drum tracks

Autor: Lee, Keon Ju

Musical timbre transfer is the task of re-rendering the musical content of a given source using the rendering style of a target sound. The source keeps its musical content, e.g., pitch, microtiming, orchestration, and syncopation. I specifically focu

Externí odkaz: http://hdl.handle.net/1828/13221

X-RAI: A Framework for the Transparent, Responsible, and Accurate Use of Machine Learning in the Public Sector

Autor: Nagbøl, Per Rådberg, Müller, Oliver

Publikováno v: Nagbøl, P R & Müller, O 2020, X-RAI: A Framework for the Transparent, Responsible, and Accurate Use of Machine Learning in the Public Sector . in S Virkar, M Janssen, I Lindgren, U Melin, F Mureddu, P Parycek, E Tambouris, G Schwabe & H J Scholl (eds), EGOV-CeDEM-ePart 2020 : Proceedings of Ongoing Research, Practitioners, Workshops, Posters, and Projects of the International Conference EGOV-CeDEM-ePart 2020 . CEUR Workshop Proceedings, Sweden, CEUR Workshop Proceedings, vol. 2797, pp. 259 . < http://ceur-ws.org/Vol-2797/paper25.pdf >

This paper reports on an Action Design Research project taking place in the Danish Business Authority focusing on quality assurance and evaluation of machine learning models in production. The design artifact is a Framework (X-RAI) which stands for T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2988::f35cc6f8821650443de41d01aba55db1
https://pure.itu.dk/ws/files/85687137/paper25.pdf

Assessing Information Transmission in Data Transformations with the Channel Multivariate Entropy Triangle

Autor: Carmen Peláez-Moreno, Francisco J. Valverde-Albacete

Publikováno v: Entropy
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Entropy, Vol 20, Iss 7, p 498 (2018)
Volume 20
Issue 7

Data transformation, e.g., feature transformation and selection, is an integral part of any machine learning procedure. In this paper, we introduce an information-theoretic model and tools to assess the quality of data transformations in machine lear

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2498ecc78441faede8d59caebf89555b
http://europepmc.org/articles/PMC7844629