Results 121 to 130 of about 13,519,689 (294)

Knowledge graph construction with structure and parameter learning for indoor scene design

open access: yesComputational Visual Media, 2018
We consider the problem of learning a representation of both spatial relations and dependencies between objects for indoor scene design. We propose a novel knowledge graph framework based on the entity-relation model for representation of facts in indoor
Yuan Liang   +4 more
doaj   +1 more source

Ethical Foreground and Background in Adult Educator Work

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Adult educators work in a complex ethical environment. The very act of contributing to the learning of another is fraught with moral overtones. In this paper we consider the ethical dimensions of adult educator practice by distinguishing the ethical features of the context or ‘background’ of practice from the ethical capabilities and decision ...
Steven Hodge, Sonal Nakar
wiley   +1 more source

Gradient-Free De Novo Learning

open access: yesEntropy
This technical note applies active inference to the problem of learning goal-directed behaviour from scratch, namely, de novo learning. By de novo learning, we mean discovering, directly from observations, the structure and parameters of a discrete ...
Karl Friston   +9 more
doaj   +1 more source

Internet Technology and Lifelong Learning

open access: yes, 2009
This is a text version of an online distance-learning course produced in 2004. It is deposited here now (July 2009) for archive purposes. It was originally intended for the professional development of staff involved in any way with the management, design
Martin Counihan   +2 more
core  

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi   +8 more
wiley   +1 more source

Celebrate San Antonio

open access: yes, 1976
Workshops offered by Learning About Learning in ...
Learning About Learning
core   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu   +21 more
wiley   +1 more source

MOOC: Blended Learning Practice [PDF]

open access: yes, 2020
The Blended Learning Practice massive open online course (MOOC) is an introduction to blending technology and distance education teaching strategies with traditional, in-person classroom activities. Blended learning is an important and rapidly-developing
Commonwealth of Learning, /
core   +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

open access: yesAnnals 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   +8 more
wiley   +1 more source

Evaluating Representation Learning on the Protein Structure Universe [PDF]

open access: yes
We introduce ProteinWorkshop, a comprehensive benchmark suite for representation learning on protein structures with Geometric Graph Neural Networks. We consider large-scale pre-training and downstream tasks on both experimental and predicted structures ...
Morehead A.   +10 more
core  

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