Results 221 to 230 of about 1,988,212 (277)
From Concrete to Code: A Survey of AI-Driven Transportation Infrastructure, Security, and Human Interaction. [PDF]
Kose NA, Kose K, Liang F.
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Application of artificial intelligence in schizophrenia rehabilitation management: a systematic scoping review. [PDF]
Yang H +5 more
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Enhancing Early Diagnosis: Multimodal AI Approaches for Neurodegenerative Diseases. [PDF]
Swamy A, Agrawal DK.
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Artificial Intelligence in Proton Therapy: What Works, What Does Not, and What Is Next. [PDF]
Li H, Yang M, Ndassi DK, Meng S, Jia X.
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2021
Abstract This chapter investigates the effect of data-driven learning (DDL) by comparing the use of a new corpus tool, #LancsBox, with the use of a corpus-based collocations dictionary for academic collocation learning. Learners in the study improved their collocational knowledge by using #LancsBox, although not significantly.
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Abstract This chapter investigates the effect of data-driven learning (DDL) by comparing the use of a new corpus tool, #LancsBox, with the use of a corpus-based collocations dictionary for academic collocation learning. Learners in the study improved their collocational knowledge by using #LancsBox, although not significantly.
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Unsupervised Data Driven Taxonomy Learning
2015 First International Conference on Arabic Computational Linguistics (ACLing), 2015The ability to effectively organize textual information is a big challenge in intelligent text processing. With the increase in the amount of textual data being generated, this task is becoming more and more essential. In this paper we present an unsupervised computer-aided tool for automatically building classification schemes and taxonomies for ...
Mahmoud M. Hosny +2 more
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Towards data-driven mastery learning
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015We have developed a novel data-driven mastery learning system to improve learning in complex procedural problem solving domains. This new system was integrated into an existing logic proof tool, and assigned as homework in a deductive logic course. Student performance and dropout were compared across three systems: The Deep Thought logic tutor, Deep ...
Behrooz Mostafavi +2 more
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Data-Driven Indirect Iterative Learning Control
IEEE Transactions on CyberneticsIn this work, a data-driven indirect iterative learning control (DD-iILC) is presented for a repetitive nonlinear system by taking a proportional-integral-derivative (PID) feedback control in the inner loop. A linear parametric iterative tuning algorithm for the set-point is developed from an ideal nonlinear learning function that exists in theory by ...
Ronghu Chi +3 more
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Data-driven Personalized Learning
Proceedings of the 2023 6th International Conference on Educational Technology Management, 2023Xue Guo, Xiangchun He, Zhuoyun Pei
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2010
In a brief look to the future the potential for a wider adoption of a data-driven learning approach will be assessed. As no one advocates data-driven learning as the main component in an approach to language learning, but rather as an enhancement of text-based work, the learner may be using the concordance to check if one particular use is correct, and
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In a brief look to the future the potential for a wider adoption of a data-driven learning approach will be assessed. As no one advocates data-driven learning as the main component in an approach to language learning, but rather as an enhancement of text-based work, the learner may be using the concordance to check if one particular use is correct, and
openaire +1 more source

