Results 21 to 30 of about 1,977,387 (333)
Asymmetric Transfer of Auditory Perceptual Learning [PDF]
Perceptual skills can improve dramatically even with minimal practice. A major and practical benefit of learning, however, is in transferring the improvement on the trained task to untrained tasks or stimuli, yet the mechanisms underlying this process are still poorly understood.
Amitay, Sygal +2 more
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Exploring Online Pedagogical Practices for Enhancing Transfer of Learning in Higher Education
Institutions of higher education play a critical role in bridging academia and workforce, yet college students find it challenging to transfer their learning across and beyond instructional formats, including online, hybrid, and face-to-face.
Tamara Galoyan +3 more
doaj +1 more source
Transfer Learning for Speech and Language Processing [PDF]
Transfer learning is a vital technique that generalizes models trained for one setting or task to other settings or tasks. For example in speech recognition, an acoustic model trained for one language can be used to recognize speech in another language ...
Wang, Dong, Zheng, Thomas Fang
core +1 more source
Lautum Regularization for Semi-supervised Transfer Learning [PDF]
Transfer learning is a very important tool in deep learning as it allows propagating information from one "source dataset" to another "target dataset", especially in the case of a small number of training examples in the latter.
Giryes, Raja +2 more
core +1 more source
Extending, broadening and rethinking existing research on transfer of training [PDF]
Research on transfer of training has a long history, with thousands of empirical studies since the 1950s investigating whether, and under which conditions, knowledge and skills acquired during training are subsequently used in the work environment (see ...
Volet, S.
core +2 more sources
Constrained Deep Transfer Feature Learning and its Applications
Feature learning with deep models has achieved impressive results for both data representation and classification for various vision tasks. Deep feature learning, however, typically requires a large amount of training data, which may not be feasible for ...
Ji, Qiang, Wu, Yue
core +1 more source
Learning strategies scale: adaptation to Portuguese and factor structure [PDF]
Since learning strategies seem to be an important set of variables to explain the effectiveness of training and e-learning in organizations is here to stay, this paper aimed to analyze the factor structure and psychometric properties of a Learning ...
Martins, Lara Barros +2 more
core +2 more sources
Communities in drought-prone areas continued to fall into new vulnerability traps due to increasing water demand and stress. The study assessed groundwater development and management constraints in the Chiredzi and Zvishavane districts of Zimbabwe ...
Pascal Manyakaidze +2 more
doaj +1 more source
The four-component instructional design model (4C/ID) is actively used in the field of education abroad; however, there are only some scientific publications describing the experience of its application in the realities of Russian higher education.
Elena A. Drugova, Alexander I. Vaniev
doaj +1 more source
Effects of Force Level and Hand Dominance on Bilateral Transfer of a Fine Motor Skill [PDF]
Our research is about bilateral transfer, a concept in motor learning where skills learned by one limb are "transferred", allowing the opposite limb to benefit from what was learned by the first limb.
Muller, Karl, Rai, Aakarsh
core +1 more source

