Clustered Bayesian classification for within-class separation
The Bayesian classification is one of the frequently used approaches in machine learning.
This approach obtains probabilities based on attributes of classes using Bayes' theorem and …
This approach obtains probabilities based on attributes of classes using Bayes' theorem and …
[HTML][HTML] Historical variations of sedimentary organic matter sources and their relationships with human socio-economic activities in multiple habitats of a shallow lake
Z Yin, L Li, C Liu, W Yan, L Wang, M Zhang, D Wang - Ecological Indicators, 2022 - Elsevier
Understanding the source and historical variation of sedimentary organic matter (OM) and
their relationships with human socio-economic activities is of great significance to water …
their relationships with human socio-economic activities is of great significance to water …
Remote sensing data processing of urban land using based on artificial neural network
H Zhang - Scientific Programming, 2022 - Wiley Online Library
With the rapid development of urbanization, the utilization rate of land has become the focus
of attention. Remote sensing technology can provide a large amount of data for the …
of attention. Remote sensing technology can provide a large amount of data for the …
Clasificación de la disfunción temporomandibular con algoritmos de aprendizaje supervisado
CA López Hernández - 2024 - bdigital.dgse.uaa.mx
Los trastornos temporomandibulares (TTM) son un conjunto de afecciones de la articulaci´
on temporomandibular y los m´ usculos asociados. Estas afecciones se presentan …
on temporomandibular y los m´ usculos asociados. Estas afecciones se presentan …