Results 11 to 20 of about 31,003,301 (345)

Approaches to learn about employer learning

open access: yesCanadian Journal of Economics/Revue canadienne d'économique, 2022
AbstractThe empirical literature on employer learning assumes that employers learn about unobserved ability differences across workers as they spend time in the labour market. This article describes testable implications that arise from this basic hypothesis and how they have been used to quantify the contribution of job market signalling and human ...
Mahmut Ablay, Fabian Lange
openaire   +3 more sources

Single classifier vs. ensemble machine learning approaches for mental health prediction

open access: yesBrain Informatics, 2023
Early prediction of mental health issues among individuals is paramount for early diagnosis and treatment by mental health professionals. One of the promising approaches to achieving fully automated computer-based approaches for predicting mental health ...
Jetli Chung, J. Teo
semanticscholar   +1 more source

Evaluation of midwifery students’ learning approaches to the compulsory biochemistry course

open access: yesTürk Biyokimya Dergisi, 2022
Learning approach in a certain learning process is based on the student’s intentions, behaviors, and habits according to his/her perceptions of the task of learning and determines the amount and quality of learning.
Kosova Funda   +3 more
doaj   +1 more source

A Review of Hydrodynamic and Machine Learning Approaches for Flood Inundation Modeling

open access: yesWater, 2023
Machine learning (also called data-driven) methods have become popular in modeling flood inundations across river basins. Among data-driven methods, traditional machine learning (ML) approaches are widely used to model flood events, and recently deep ...
Fazlul Karim   +4 more
semanticscholar   +1 more source

Voting: A machine learning approach [PDF]

open access: yesEuropean Journal of Operational Research, 2022
Voting rules can be assessed from quite different perspectives: the axiomatic, the pragmatic, in terms of computational or conceptual simplicity, susceptibility to manipulation, and many others aspects. In this paper, we take the machine learning perspective and ask how ‘well’ a few prominent voting rules can be learned by a neural network.
David Burka   +3 more
openaire   +4 more sources

Gender equality in Catholic religious and character education: A multiculturalism perspective

open access: yesHTS Teologiese Studies/Theological Studies, 2022
Gender equality continues to be important because it strengthens society. One of the efforts to promote gender equality in Indonesia is gender equality education.
Dody S. Truna   +2 more
doaj   +1 more source

Using machine learning approaches for multi-omics data analysis: A review.

open access: yesBiotechnology Advances, 2021
With the development of modern high-throughput omic measurement platforms, it has become essential for biomedical studies to undertake an integrative (combined) approach to fully utilise these data to gain insights into biological systems.
P. Reel   +4 more
semanticscholar   +1 more source

A Learning Approach to Auctions [PDF]

open access: yesJournal of Economic Theory, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shlomit Hon-Snir   +2 more
openaire   +5 more sources

Machine Learning and Deep Learning Approaches for CyberSecurity: A Review

open access: yesIEEE Access, 2022
The rapid evolution and growth of the internet through the last decades led to more concern about cyber-attacks that are continuously increasing and changing.
A. Halbouni   +5 more
semanticscholar   +1 more source

Learning approaches and strategies in online learning

open access: yesCurricula, 2023
The existence of a policy of limiting activities by the government during the Covid-19 pandemic resulted in limited educational activities in schools.
Shinta Ratna Yudhi Hapsari   +6 more
doaj   +1 more source

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