Treffer: Toolbox for Multimodal Learn (scikit-multimodallearn)

Title:
Toolbox for Multimodal Learn (scikit-multimodallearn)
Authors:
Benielli, Dominique, Capponi, Cécile, Koço, Sokol, Kadri, Hachem, Huusari, Riikka, Bauvin, Baptiste, Laviolette, François
Contributors:
éQuipe d'AppRentissage de MArseille (QARMA), Laboratoire d'Informatique et des Systèmes (LIS) (Marseille, Toulon) (LIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT), Helsinki Institute for Information Technology (HIIT), Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Aalto University, Université Laval [Québec] (ULaval)
Source:
Journal of Machine Learning Research. 23(51):1-7
Publisher Information:
CCSD; Microtome Publishing, 2022.
Publication Year:
2022
Collection:
collection:UNIV-TLN
collection:CNRS
collection:UNIV-AMU
collection:LIS-LAB
collection:INSTITUTS-TELECOM
collection:INCIAM
Subject Terms:
classifier, supervised learning, algorithms, Python 3, Sklearn, multiview, multimodal, [INFO.INFO-LG]Computer Science [cs], Machine Learning [cs.LG]
Original Identifier:
HAL: hal-03845366
Document Type:
Zeitschrift article<br />Journal articles
Language:
English
ISSN:
1532-4435
1533-7928
Access URL:
https://hal.science/hal-03845366
https://hal.science/hal-03845366v1/document
https://hal.science/hal-03845366v1/file/21-0791.pdf
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.03845366v1
Database:
HAL

Weitere Informationen

scikit-multimodallearn is a Python library for multimodal supervised learning, licensed under Free BSD, and compatible with the well-known scikit-learn toolbox (Pedregosa et al., 2011). This paper details the content of the library, including a specific multimodal data formatting and classification and regression algorithms. Use cases and examples are also provided.