(2012). Transfer of learning as a specific case of transitions between learning contexts in a French work-integrated learning programme. Vocations and Learning, 5, 251-276. http://dx.doi.org/10.1007/s12186-012-9076-y.VEILLARD, L. (2012a). Transfer of learning as a specific case of ...
The neuronal processing of visual stimuli in primary visual cortex (V1) can be modified by perceptual training. Training in bisection discrimination, for i... Schäfer,Roland,Vasilaki,... - 《Plos Computational Biology》 被引量: 5发表: 2009年 Task-specific transfer of perceptual learning acros...
To overcome this limitation and leverage the strong modeling ability of deep neural networks, in this paper, we propose a novel spatial-temporal representation for the HR signal and design a general-to-specific transfer learning strategy to train a deep heart rate estimator from a large volume ...
. In addition, I document children's difficulty learning about causally impossible events, such as pulling with strings that do not appear to make contact with the object they are pulling. Even young children transfer on the basis of deep structural principles rather than perceptual features when ...
Transfer learning is an approach where deep learning models are first trained on a large (unlabeled) dataset to learn generalized parameter initialization and perform similar tasks on another dataset. Several state-of-the-art results in the NLP and CV domain are based on transfer learning solutions...
Transfer was observed when stimuli appeared along a linear function (Experiment 1) or in rings of a bull's eye (Experiment 2). The novel transfer effects imply location-specific control is more flexible than previously reported, and further counter the complex stimulus-response learning account of...
- 《Journal of Manufacturing Processes》 被引量: 0发表: 2023年 Human Motion Recognition Based on Feature Fusion and Transfer Learning and then the two features maps and feature fusion spectrograms are put into the VGG16 network model based on transfer learning for identification and class... X...
The Adam optimizer (tf.keras.optimizers.Adam) was used to minimize the pixel-wise error for the generator network. This optimization algorithm is a method of stochastic gradient descent that adapts the learning rate for each parameter of the model based on the first- and second-order moments (...
The fact that people are no longer tied to specific places for functions such as studying or learning,says William Mitchell,a professor of architecture and computer science at MIT,means that there is"a huge drop in demand for traditional,(51)___,enclosed spaces"such as offices or classrooms,...
Transfer learning for named-entity recognition with neural networks Proceedings of the eleventh International conference on language resources and evaluation, LREC 2018 (2018), pp. 4470-4473 Google Scholar Lin et al., 2018 J. Lin, H. Pu, Y. Li, J. Lian Intelligent recommendation system for co...