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Window-Based Example Selection in Learning Vector Quantization
Neural Computation, 2010A variety of modifications have been employed to learning vector quantization (LVQ) algorithms using either crisp or soft windows for selection of data. Although these schemes have been shown in practice to improve performance, a theoretical study on the influence of windows has so far been limited.
Witoelar, A. W. +4 more
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Learning vector quantization with training data selection
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006In this paper, we propose a method that selects a subset of the training data points to update LVQ prototypes. The main goal is to conduct the prototypes to converge at a more convenient location, diminishing misclassification errors. The method selects an update set composed by a subset of points considered to be at the risk of being captured by ...
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Viral vector platforms within the gene therapy landscape
Signal Transduction and Targeted Therapy, 2021Phillip W L Tai, Guangping Gao
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Adeno-associated virus vector as a platform for gene therapy delivery
Nature Reviews Drug Discovery, 2019Dan Wang, Phillip W L Tai, Guangping Gao
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Controlling vector-borne diseases by releasing modified mosquitoes
Nature Reviews Microbiology, 2018Heather A Flores, Scott L O'neill
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Drivers, dynamics, and control of emerging vector-borne zoonotic diseases
Lancet, The, 2012A Marm Kilpatrick
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