Results 31 to 40 of about 444,221 (267)

Using E-Learning Tools to Enhance Students- Mathematicians’ Competences in the Context of International Academic Mobility Programmes

Интеграция образования, 2019
Introduction. The article is concerned with the use of special electronic teaching tools to increase the students’ understanding of the subject and adaptation to the professional language environment of the host country, taking into account the ...
Alexander P. Snegurenko, Sergey A. Sosnovsky, Svetlana V. Novikova, Rouzilya R. Yakhina, Natalia L. Valitova, Elmira Sh. Kremleva   +5 more
doaj   +1 more source

Two-Stage Model-Agnostic Meta-Learning With Noise Mechanism for One-Shot Imitation

IEEE Access, 2020
Given that humans and animals can learn new behaviors in a short time by observing others, the question we need to consider is how to make robots behave like humans or animals, that is, through effective demonstration, robots can quickly understand and ...
Ziye Hu, Zhongxue Gan, Wei Li, James Zhiqing Wen, Decheng Zhou, Xusheng Wang   +5 more
doaj   +1 more source

The Relationship Between Abraham Maslow's Theory of Learning Motivation and the Learning Motivation of FKIP Students of Nusa Cendana University

Kinestetik, 2022
The goal is that students have motivation that is in line with the principles of learning motivation and can participate in every learning activity in theory and practice. The design used in the implementation of this research is Ex post facto.
Salmon Runesi, Al Ihzan Tajuddin, Ronald Dwi Ardian Fufu, Yudabbirul Arif   +3 more
doaj   +1 more source

Learning Learning Curves [PDF]

Pattern Analysis and Applications
Contains fulltext : 314824.pdf (Publisher’s version ) (Open Access)
Taylan Turan, O., Tax, David M.J., Viering, Tom J., Loog, M.   +3 more
openaire   +2 more sources

Learning to Continually Learn

, 2020
Continual lifelong learning requires an agent or model to learn many sequentially ordered tasks, building on previous knowledge without catastrophically forgetting it. Much work has gone towards preventing the default tendency of machine learning models to catastrophically forget, yet virtually all such work involves manually-designed solutions to the ...
Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney   +6 more
openaire   +2 more sources

Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization

IEEE Access, 2022
Decision making algorithms are used in a multitude of different applications. Conventional approaches for designing decision algorithms employ principled and simplified modelling, based on which one can determine decisions via tractable optimization ...
Nir Shlezinger, Yonina C. Eldar, Stephen P. Boyd   +2 more
doaj   +1 more source

PeFLL: Personalized Federated Learning by Learning to Learn

, 2023
We present PeFLL, a new personalized federated learning algorithm that improves over the state-of-the-art in three aspects: 1) it produces more accurate models, especially in the low-data regime, and not only for clients present during its training phase, but also for any that may emerge in the future; 2) it reduces the amount of on-client computation ...
Scott, Jonathan A, Zakerinia, Hossein, Lampert, Christoph   +2 more
openaire   +4 more sources

Guidelines for Pediatric Radiotherapy Simulation: A Report From the Children's Oncology Group Radiation Oncology Discipline

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei, Stephen Mihalcik, Sujith Baliga, Young Kwok, Dana Casey, Eric Ehler, Christiane Burton, John C. Breneman, Daphne A. Haas‐Kogan, Suzanne L. Wolden, Arnold C. Paulino, Nadia N. Laack, Natia Esiashvili, Sarah Milgrom, Christine Hill‐Kayser, Thomas J. Fitzgerald, John A. Kalapurakal, Chia‐Ho Hua   +17 more
wiley   +1 more source

Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte, Hannah Koch, Olivia A. Coughlin, Jillian R. Bouck, Allie Carter, Seethal A. Jacob   +5 more
wiley   +1 more source

Psychosocial Functioning After Pediatric Bone Sarcoma: Generic and Survivor‐Specific Outcomes in Adolescent and Young Adult Patients

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric bone sarcoma patients and survivors may experience psychosocial challenges related to childhood cancer after their intensive, body‐altering treatment. This cross‐sectional study aimed to evaluate generic and survivor‐specific psychosocial outcomes in a national cohort of pediatric bone sarcoma patients and survivors, and ...
Hinke van der Hoek, Heleen Maurice‐Stam, Laura R. Beek, Jennifer van Dijk, Marjolein E. M. Langemeijer, Relinde W. Slooff‐Lentink, Alied M. van der Aa‐van Delden, Anne Westerweel, Marloes van Gorp, Hendrik W. B. Schreuder, Lianne M. Haveman, W. Peter Bekkering, Leonie G. Tigelaar, Johannes H. M. Merks, Martha A. Grootenhuis   +14 more
wiley   +1 more source