Results 101 to 110 of about 8,451,453 (309)

Learning lessons, policy transfer and the international diffusion of policy ideas [PDF]

, 2001
The literature on policy transfer, diffusion and convergence as well as lesson drawing is burgeoning. The common theme among studies in this field is the concern with ‘knowledge about how policies, administrative arrangements, institutions and ideas in ...
Stone, Diane
core  

HugoJPMartin/transfer-linux: Transfer Learning for Linux

, 2021
This is the first release of the Python code that perform transfer learning of binary size prediction models for Linux ...
HugoJPMartin
core   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

, 2019
In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data.
Latyr Fall, Cheikh, Côté-Allard, Ulysse, Glette, Kyrre, Drouin, Alexandre, Fall, Cheikh Latyr, Campeau-Lecours, Alexandre, Gosselin, Benoit, Laviolette, Francois, Côté Allard, Ulysse, Gosselin, Clément   +9 more
core   +1 more source

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan, Marco Pitteri, Michael Foster, Sara Collorone, Sara Salama, Elisa Colato, Ferran Prados, Baris Kanber, Marios Yiannakas, Claudia A. M. Gandini Wheeler‐Kingshott, Indran Davagnanam, Frederik Barkhof, Declan Chard, Olga Ciccarelli, Ahmed Toosy   +14 more
wiley   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets [PDF]

, 2021
In 2016, United Kingdom (UK) citizens voted to leave the European Union (EU), which was officially implemented in 2020. During this period, UK residents experienced a great deal of uncertainty around the UK’s continued relationship with the EU.
Adedoyin-Olowe, Mariam, Palicki, Sean-Kelly, Fouad, Shereen, Abdallah, Zahraa S.   +3 more
core   +1 more source

Transfer Learning and Applications [PDF]

, 2012
In machine learning and data mining, we often encounter situations where we have an insufficient amount of high-quality data in a target domain, but we may have plenty of auxiliary data in related domains. Transfer learning aims to exploit these additional data to improve the learning performance in the target domain.
openaire   +2 more sources

Transfer, transitions and transformations of learning

, 2013
This book explores one of the enduring issues in educational research and one of the challenges for formal education. That is, understanding the relationship between learning in one context, setting or time and a subsequent related learning experience or
Baartman, L., Middleton, Howard
core  

Transfer Learning: Machine Learning Models and Clustering Configurations Performances in Time Series Forecasting

, 2023
reservedIn the recent years Transfer Learning approaches have been widely implemented in several machine learning fields, such as Computer Vision, Natural Language Processing and Time Series Forecasting.
PIVATO, DAVIDE
core