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A Neural Network for Hyphenation
1992Abstract It is shown that although a neural net trained with backprop learning is able to achieve reasonable generalization performance on a hard linguistic pattern recognition problem (segmentation of spelling strings into syllables in Dutch), it remains inferior in performance to symbolic pattern matching algorithms, and even to a simple table ...
Daelemans, Walter, van den Bosch, Antal
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Image Style Transfer Using Convolutional Neural Networks
Computer Vision and Pattern Recognition, 2016Leon A. Gatys +2 more
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An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne T Penberthy +2 more
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Failing Forward: Stability of Transparent Electrodes Based on Metal Nanowire Networks
Advanced Materials, 2021Jeffrey C Grossman +2 more
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Soft Materials by Design: Unconventional Polymer Networks Give Extreme Properties
Chemical Reviews, 2021Hyunwoo Yuk, Shaoting Lin, Xiaoyu Chen
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Molecular Characterization of Polymer Networks
Chemical Reviews, 2021Bassil M El-zaatari +2 more
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SignalP 5.0 improves signal peptide predictions using deep neural networks
Nature Biotechnology, 2019J. J. Almagro Armenteros +7 more
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Deep neural networks for the evaluation and design of photonic devices
Nature Reviews Materials, 2021Jiaqi Jiang +2 more
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Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017
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