LAUSR

Learning without awareness revisited and reconsidered

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0 Published in 2024 at "Studies in Second Language Acquisition"

DOI: 10.1017/s0272263124000500

Abstract: Abstract Is it possible to acquire a sensitivity to a regularity in language without intending to and without awareness of what it is? In this conceptual replication and extension of an earlier study (Williams, 2005)… read more here.

Keywords: revisited reconsidered; learning without; without awareness; language ... See more keywords

Experiential learning without prior vicarious learning: an insight from the primary dental care setting

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1 Published in 2020 at "Education for Primary Care"

DOI: 10.1080/14739879.2020.1813055

Abstract: ABSTRACT The vicarious learning method (by observation) is used to help learners emulate their teachers’ behaviours. The experiential learning method (by experience) is traditionally used thereafter, so that learners can apply these behaviours to a… read more here.

Keywords: without prior; learning; experiential learning; care ... See more keywords

Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models

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2 Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3240443

Abstract: Cancer is the second biggest cause of death worldwide, accounting for one of every six deaths. On the other hand, early detection of the disease significantly improves the chances of survival. The use of Artificial… read more here.

Keywords: learning without; learning models; deep learning; without forgetting ... See more keywords

Meta-Learning Without Data via Unconditional Diffusion Models

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0 Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2024.3424572

Abstract: Although few-shot learning aims to address data scarcity, it still requires large, annotated datasets for training, which are often unavailable due to cost and privacy concerns. Previous studies have utilized pre-trained diffusion models, either to… read more here.

Keywords: diffusion; learning without; meta learning; class ... See more keywords

Blind Federated Learning without initial model

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0 Published in 2024 at "Journal of Big Data"

DOI: 10.1186/s40537-024-00911-y

Abstract: Federated learning is an emerging machine learning approach that allows the construction of a model between several participants who hold their own private data. This method is secure and privacy-preserving, suitable for training a machine… read more here.

Keywords: initial model; learning without; without initial; model ... See more keywords