Results 81 to 90 of about 99,773 (316)
Symplectic Recurrent Neural Networks
CoRR, 2019 Added link to GitHub ...
Zhengdao Chen +3 more
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JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2020 Nowadays internet access is getting easier to get. Because of the ease of access to the internet, almost all internet users have social media. Social media is widely used by users to call out their opinions or even to make complaints about a matter and ...
Ivan Nathaniel Husada, Hapnes Toba
doaj +1 more source
Evolutionary optimization of echo state networks: multiple motor pattern learning
, 2010 Krause AF, Dürr V, Bläsing B, Schack T. Evolutionary optimization of echo state networks: multiple motor pattern learning. In: Artificial neural networks and intelligent information processing : proceedings of the 6th International Workshop on ...
Krause, André Frank +3 more
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Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Batch normalized recurrent neural networks [PDF]
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 Recurrent Neural Networks (RNNs) are powerful models for sequential data that have the potential to learn long-term dependencies. However, they are computationally expensive to train and difficult to parallelize. Recent work has shown that normalizing intermediate representations of neural networks can significantly improve convergence rates in ...
César Laurent +4 more
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Real-time classification of hand movements as a basis for intuitive control of grasp neuroprostheses
Current Directions in Biomedical Engineering, 2020 This paper reports on the evaluation of recurrent and convolutional neural networks as real-time grasp phase classifiers for future control of neuroprostheses for people with high spinal cord injury.
Amelin Dmitry +6 more
doaj +1 more source
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml
Machine Learning: Science and Technology, 2023 Recurrent neural networks have been shown to be effective architectures for many tasks in high energy physics, and thus have been widely adopted.
Elham E Khoda +12 more
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, 2012 Copyright @ 2012 Springer VerlagThis paper is concerned with the state estimation problem for a new class of discrete-time neural networks with Markovian jumping parameters and mixed time-delays.
Liu, Y, Liu, X, Wang, Z
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Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
Molecular Oncology, EarlyView.The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
Memristive recurrent neural network
Neurocomputing, 2018 Abstract It is reported a continuous-time neural network in CMOS that uses memristors. These nanodevices are used to achieve some analog functions such as constant current sourcing, decaying term emulation, and resistive connection; all of them representing parameters of the neural network.
Gerardo Marcos Tornez-Xavier +3 more
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