Cargando…
Machine Learning for Brain Images Classification of Two Language Speakers
The image analysis of the brain with machine learning continues to be a relevant work for the detection of different characteristics of this complex organ. Recent research has observed that there are differences in the structure of the brain, specifically in white matter, when learning and using a s...
Autor principal: | Barranco-Gutiérrez, Alejandro-Israel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7294350/ https://www.ncbi.nlm.nih.gov/pubmed/32587607 http://dx.doi.org/10.1155/2020/9045456 |
Ejemplares similares
-
Languages with more speakers tend to be harder to (machine-)learn
por: Koplenig, Alexander, et al.
Publicado: (2023) -
A Classification of Speakers
por: Whitford, William
Publicado: (1899) -
The Effect of Speech Variability on Tonal Language Speakers’ Second Language Lexical Tone Learning
por: Zhang, Kaile, et al.
Publicado: (2018) -
Portraying accent stereotyping by second language speakers
por: Lan, Yizhou, et al.
Publicado: (2023) -
Language structure is influenced by the number of speakers but seemingly not by the proportion of non-native speakers
por: Koplenig, Alexander
Publicado: (2019)