Results 281 to 290 of about 8,374,235 (328)
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Hybrid Noise-Oriented Multilabel Learning
IEEE Transactions on Cybernetics, 2020For real-world applications, multilabel learning usually suffers from unsatisfactory training data. Typically, features may be corrupted or class labels may be noisy or both. Ignoring noise in the learning process tends to result in an unreasonable model and, thus, inaccurate prediction. Most existing methods only consider either feature noise or label
Changqing Zhang +5 more
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Hybrid-Learning-Based Driver Steering Intention Prediction Using Neuromuscular Dynamics
IEEE transactions on industrial electronics (1982. Print), 2021The emerging automated driving technology poses a new challenge to driver-automation collaboration, which requires a mutual understanding between humans and machines through their intention identifications.
Yang Xing +5 more
semanticscholar +1 more source
2016
The discontinuities between in-school and out-of-school learning have been the source of robust scholarship since the early 20th century (e.g., Dewey, 1916; Kilpatrick, 1923, 1925). Research has illuminated differences in people’s abilities to solve problems across settings, illustrating that engagement and learning can vary significantly by context (e.
Kristiina Kumpulainen, Anna Mikkola
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The discontinuities between in-school and out-of-school learning have been the source of robust scholarship since the early 20th century (e.g., Dewey, 1916; Kilpatrick, 1923, 1925). Research has illuminated differences in people’s abilities to solve problems across settings, illustrating that engagement and learning can vary significantly by context (e.
Kristiina Kumpulainen, Anna Mikkola
openaire +1 more source
Adaptive Hybrid Learning for Neural Networks
Neural Computation, 2004A robust locally adaptive learning algorithm is developed via two enhancements of the Resilient Propagation (RPROP) method. Remaining drawbacks of the gradient-based approach are addressed by hybridization with gradient-independent Local Search. Finally, a global optimization method based on recursion of the hybrid is constructed, making use of tabu ...
Smithies, Rob, Salhi, Said, Queen, Nat
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Proceedings of the VikingPLoP 2017 Conference on Pattern Languages of Program, 2017
This paper describes eight patterns for the design of hybrid learning spaces. A hybrid learning spaces blends different space concepts, such as physical and digital, and enables hybrid pedagogical scenarios. The identified design patterns have been implemented for new innovative rooms. They have proved to be a very good planning tool.
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This paper describes eight patterns for the design of hybrid learning spaces. A hybrid learning spaces blends different space concepts, such as physical and digital, and enables hybrid pedagogical scenarios. The identified design patterns have been implemented for new innovative rooms. They have proved to be a very good planning tool.
openaire +1 more source
Learning in Hybrid Neural Models
1994In this work two different learning strategies for a hybrid neural model are compared. This model has been developed for Pattern Recognition applications, in particular for handprinted character classification.
G Morgavi +3 more
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Hybrid Learning and Ubiquitous Learning
2008Ubiquitous learning (U-Learning) has an increasing trend as the coming forth of more new media and instructional ideas. U-Learning focuses on the combination of learning environment and substance space, emphasizing the learning can be happen as seeing, hearing, reading, or apperceiving whenever the learner wanted.
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2009
Tri-hybrid learning is a combination of classroom learning (or face-to-face meetings), Web use (i.e., Web site, CMS), and 3D VLE (e.g., Second Life©, There©, Activity Worlds©). This method of learning takes the popular method of blended learning to the next level.
Leonard A. Annetta +2 more
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Tri-hybrid learning is a combination of classroom learning (or face-to-face meetings), Web use (i.e., Web site, CMS), and 3D VLE (e.g., Second Life©, There©, Activity Worlds©). This method of learning takes the popular method of blended learning to the next level.
Leonard A. Annetta +2 more
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Designing Synchronous Hybrid Learning Spaces: Challenges and Opportunities
Understanding Teaching-Learning Practice, 2022Morten Winther Bülow
semanticscholar +1 more source
Hybrid Learning in Lifelong Learning Implementation
2011This paper, starting out from the concept and practice of lifelong learning, explores hybrid learning model as an effective and efficient way to meet individual's lifelong learning needs. The study focuses on the concept and framework of lifelong hybrid learning.
Jianjun Hou, Haidi Lu
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