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How Personal is Machine Learning Personalization? [PDF]
arXiv, 2019 Though used extensively, the concept and process of machine learning (ML) personalization have generally received little attention from academics, practitioners, and the general public. We describe the ML approach as relying on the metaphor of the person as a feature vector and contrast this with humanistic views of the person.
Greene, Travis, Shmueli, Galit
arxiv +3 more sources
Personalized and adaptive learning [PDF]
Texto Livre: Linguagem e Tecnologia, 2021 Education Technology advances many aspects of learning. More and more learning is taking place online. Learners’ learning behaviors, style, and performance can be easily profiled through learning analytics which collects their online learning footage. It
Rebeca Soler Costa +4 more
doaj +2 more sources
Personalized Learning in Mathematics
Je-LKS: Journal of E-Learning and Knowledge Society, 2015 This work shows an innovative solution in order to enable the predisposition to the mathematics, by using auto-regulation of learning objectives, personalization for obtaining, in such a way, a learning path more compliant to the learner’s needs. In this
Giovannina Albano +2 more
doaj +6 more sources
Semantic Learning Service Personalized [PDF]
International Journal of Computational Intelligence Systems, 2012 To provide users with more suitable and personalized service, personalization is widely used in various fields. Current e-Learning systems search for learning resources using information search technology, based on the keywords that selected or inputted ...
Yibo Chen +3 more
doaj +2 more sources
Label-based Approach for Dynamic Updating Approximations in Incomplete Fuzzy Probabilistic Rough Sets over Two Universes [PDF]
Jisuanji kexue, 2022 When the missing values are obtained in incomplete fuzzy probabilistic rough sets over two universes,the time efficiency of the traditional static algorithm for updating approximations in incomplete fuzzy probabilistic rough sets over two universes is ...
XUE Zhan-ao, HOU Hao-dong, SUN Bing-xin, YAO Shou-qian
doaj +1 more source
To Learn, Unlearn, and Relearn with Personalized Language Learning and Educational Technology [PDF]
E3S Web of Conferences, 2023 The implementation of Personalized Learning as a learning system provides opportunities for students to manage learning according to their competencies, time, and interests.
Maheswara Abyana, Rifai Irfan
doaj +1 more source
Survey of Personalized Learning Recommendation [PDF]
Jisuanji kexue yu tansuo, 2022 Personalized learning recommendation is a research field of intelligent learning. Its goal is to provide specific learners with effective learning resources on the learning platform, thereby enhancing learning enthusiasm and learning effect. Although the
WU Zhengyang, TANG Yong, LIU Hai
doaj +1 more source
PMVT: a lightweight vision transformer for plant disease identification on mobile devices
Frontiers in Plant Science, 2023 Due to the constraints of agricultural computing resources and the diversity of plant diseases, it is challenging to achieve the desired accuracy rate while keeping the network lightweight.
Guoqiang Li +7 more
doaj +1 more source
Personalization of Deep Learning [PDF]
, 2021 We discuss training techniques, objectives and metrics toward personalization of deep learning models. In machine learning, personalization addresses the goal of a trained model to target a particular individual by optimizing one or more performance metrics, while conforming to certain constraints.
Johannes Schneider, Michail Vlachos
openaire +3 more sources
A dynamic single cell-based framework for digital twins to prioritize disease genes and drug targets
Genome Medicine, 2022 Background Medical digital twins are computational disease models for drug discovery and treatment. Unresolved problems include how to organize and prioritize between disease-associated changes in digital twins, on cellulome- and genome-wide scales.
Xinxiu Li +13 more
doaj +1 more source