A parameter-free learning automaton scheme
Xudie Ren, et al.
Frontiers | A parameter-free learning automaton scheme …
A parameter-free learning automaton scheme
Machine Learning Algorithms for understanding the determinants of under-five Mortality – BioData Mining
This study’s methods have been explained step by step through a framework for under-five mortality prediction. The data analysis of this study was performed in various steps. Firstly, the multivariate…
Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm – BMC Medical Informatics and Decision Making
Here below results are discussed based on the research questions. What is the underlying structure of anemia among pregnant women in Ethiopia? To show the underlying structure of anemia among…
Investigating the effects of flipped vocabulary learning via an online dictionary on EFL learners’ listening comprehension – Smart Learning Environments
Graham (2011) believes that listening is a source of frustration to learners and an area where it seems difficult to make progress. Also, According to Vandergrift (2004), listening is one…
Realizing the potential of artificial intelligence in healthcare: Learning from intervention, innovation, implementation and improvement sciences
Per Nilsen, et al.
Frontiers | Realizing the potential of artificial intelligence in healthcare: Learning from intervention, innovation,…
Automatic tongue image quality assessment using a multi-task deep learning model
Huimin Xian, et al.
Frontiers | Automatic tongue image quality assessment using a multi-task deep learning model …
Co-MLHAN: contrastive learning for multilayer heterogeneous attributed networks – Applied Network Science
Our proposed Co-MLHAN is a self-supervised graph representation learning approach conceived for multilayer heterogeneous attributed networks. As previously discussed, a key novelty of Co-MLHAN is its higher expressiveness w.r.t. existing…
Do school status and classroom English learning practices influence Chinese learners’ perceptions of a high-stakes English test? – Language Testing in Asia
Students’ responses to the NMET (RQ1) The item-level EFA was conducted to explore the patterns underlying the participants’ perceptions of the NMET. Exploratory factor analysis using principal component analysis with…
Comparison of semi-supervised deep learning algorithms for audio classification – EURASIP Journal on Audio, Speech, and Music Processing
This section provides a detailed description of the five SSL approaches we compare for audio classification. We chose them for their high performance reported for object recognition in images. Two…
Quantitative provenance analysis through deep learning of rare earth element geochemistry: A case from the Liuling Group of the East Qinling Orogen, Central China
Zhenkai Zhang, et al.
Frontiers | Quantitative provenance analysis through deep learning of rare earth element geochemistry: A…