Essays about: "retraining"
Showing result 11 - 15 of 40 essays containing the word retraining.
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11. Continual Learning and Biomedical Image Data : Attempting to sequentially learn medical imaging datasets using continual learning approaches
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : While deep learning has proved to be useful in a large variety of tasks, a limitation remains of needing all classes and samples to be present at the training stage in supervised problems. This is a major issue in the field of biomedical imaging since keeping samples in the training sets consistently is often a liability. READ MORE
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12. Effects on the precision of a brain-computer interface when reducing the number of neural recordings used as input
University essay from KTH/DatavetenskapAbstract : A brain-computer interface (BCI) is a technology where electric activity from the brain is interpreted by a computer in order to perform a specific task. There exists various methods to record brain activity depending on if the recording devices are implanted under or over the scalp. READ MORE
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13. Different training methods of endurance horses in the off-season and how this affects aerobic fitness
University essay from SLU/Dept. of Anatomy, Physiology and BiochemistryAbstract : Little is known about how the aerobic capacity of endurance horses responds to retraining, rest, and detraining. In this study, 22 Swedish endurance horses, mainly Arabian horses and Arabian crosses, were followed for 23 weeks during the off-season in the winter. READ MORE
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14. Applicability of Graph Neural Networks to predict Human variability in Human Body Model Rib Strain Predictions
University essay from Uppsala universitet/Statistik, AI och data scienceAbstract : Finite element human body models have in recent years become widely used in the area of vehicle safety evaluations. They make it possible to predict injury risk in specific areas, down to the organ level in the human body. An existing human body model, SAFER HBM includes a rib cage representing an average male. READ MORE
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15. Optimizing the Performance of Text Classification Models by Improving the Isotropy of the Embeddings using a Joint Loss Function
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recent studies show that the spatial distribution of the sentence representations generated from pre-trained language models is highly anisotropic, meaning that the representations are not uniformly distributed among the directions of the embedding space. Thus, the expressiveness of the embedding space is limited, as the embeddings are less distinguishable and less diverse. READ MORE
