Výsledky vyhledávání - "Reducció de Dimensionalitat"

Machine learning approach to multidimensional opinion polarization

Autor: Cárcamo Delgado, David

Debido a la globalización que hemos sufrido durante los últimos años, el estudio de la opinión de la población y como esta es influenciada ha resultado en un ámbito cada vez más estudiado. Hasta la fecha, multitud de estudios han observado com

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3484::88974fa06d91c0fa64d924cae03fd364
https://hdl.handle.net/2117/383741

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Semantic segmentation of ancient ceramics based on hyperspectral data

Autor: Graugés Bellver, Gerard, Universitat Autònoma de Barcelona. Escola d'Enginyeria

Publikováno v: Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona

Ceramics have played a key role in the development of archaeology. They are the most common artefact found on archaeological sites because their composition makes them very durable. Being able to date and classify them is an essential job for archaeo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d1585631148e3f23fb50b776d80c9e8a
https://ddd.uab.cat/record/264132

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Feature engineering, dimensionality reduction and interpretability through autoencoders for structured data

Autor: Bofarull Cabello, Antoni

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Machine Learning is the area of Artificial Intelligence where algorithms learn from data. Therefore, making a good selection of features is essential for the models to perform their tasks in the best possible way. We employ a denoising autoencoder ar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d8da52670feb23a83c590b6711c17a75
https://hdl.handle.net/2117/356971

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Binary whale optimization algorithm for dimensionality reduction

Autor: Xu Yu, Abdelazim G. Hussien, Diego Oliva, Angel A. Juan, Essam H. Houssein

Publikováno v: O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Mathematics, Vol 8, Iss 1821, p 1821 (2020)
Mathematics
Volume 8
Issue 10

Feature selection (FS) was regarded as a global combinatorial optimization problem. FS is used to simplify and enhance the quality of high-dimensional datasets by selecting prominent features and removing irrelevant and redundant data to provide good

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a400a90e16e2be89f2cff56066cc867
http://hdl.handle.net/10609/126108

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Towards a virtual reality mobile App for exploratory data navigation in data mining education

Autor: Gutiérrez Guillén, Elva Sinaí

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
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Exploratory data visualization is a key component of data mining processes. It is particularly useful to gain insights from high-dimensional data and improve the interpretability of these processes as a result. Data visualization is limited to the ca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f41325021c8a6291cde93f5d5591cbd7
http://hdl.handle.net/2117/110861

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