Results 11 to 20 of about 13,635,921 (329)
Learning to learn differently [PDF]
Purpose This paper aims to investigate whether the formal and informal learning patterns of community health-care nurses changed in the wake of a reform that altered their work by introducing new patient groups, and to explore whether conditions in the new workplaces facilitated or impeded shifts in learning patterns.
Olsen, Trude Høgvold+2 more
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We consider reservoirs in the form of liquid state machines, i.e., recurrently connected networks of spiking neurons with randomly chosen weights. So far only the weights of a linear readout were adapted for a specific task. We wondered whether the performance of liquid state machines can be improved if the recurrent weights are chosen with a purpose ...
Subramoney, Anand+2 more
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When the authors visited community mental health facilities as part of their third year family medicine residency, they found that they learnt most about learning itself. This article describes their experience and some of their conclusions about themselves as people, as well as their function as family medicine residents.
Mei Kuin Lai+3 more
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Success in the knowledge society depends on the ability to learn. In the context of the knowledge economy, the competence of learning to learn is a basic skill and a quintessential tool for lifelong learning and thus education and training needs to provide the learning environment for the development of this competence for all citizens including ...
Gloria Flores, Peter J. Denning
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Learning to Learn and Teaching to Learn
This article was migrated. The article was marked as recommended. Medical training is notoriously difficult, and the motivation to learn and teach can decline with time. Building from the principles of self-determination theory, we provide reflections of a trainee, a trainee and supervisor, and a faculty supervisor on the role of promoting autonomy ...
Jia Zhu, Daniel J. Schumacher
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Theoretical Models of Learning to Learn [PDF]
arXiv admin note: text overlap with arXiv:1106 ...
Sebastian Thrun, Lorien Pratt
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In good old-fashioned artificial intelligence (GOFAI), humans specified systems that solved problems. Much of the recent progress in AI has come from replacing human insights by learning. However, learning itself is still usually built by humans -- specifically the choice that parameter updates should follow the gradient of a cost function.
Benjamin James Lansdell+1 more
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Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning [PDF]
Dexterous manipulation of the robot is an important part of realizing intelligence, but manipulators can only perform simple tasks such as sorting and packing in a structured environment. In view of the existing problem, this paper presents a state-of-the-art survey on an intelligent robot with the capability of autonomous deciding and learning.
Jiang Hua+3 more
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Transfer and Learning to Learn in Perceptual Learning [PDF]
As there is considerable current interest in the training characteristics that produce nonspecific perceptual learning, we propose that it may be useful to differentiate between “transfer” and “learning to learn.” These two constructs emerge from learning at different levels of a hierarchical Bayesian model.
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Learning in the Learning Organization [PDF]
JUCS - Journal of Universal Computer Science Volume Nr.
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