Results 21 to 30 of about 394,431 (266)
Enabling Training of Neural Networks on Noisy Hardware
Frontiers in Artificial Intelligence, 2021 Deep neural networks (DNNs) are typically trained using the conventional stochastic gradient descent (SGD) algorithm. However, SGD performs poorly when applied to train networks on non-ideal analog hardware composed of resistive device arrays with non ...
Tayfun Gokmen
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Ensemble Algorithms in Reinforcement Learning [PDF]
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2008 This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and final performance by combining the chosen actions or action probabilities of different RL algorithms.
Wiering, M.A., van Hasselt, H.P.
openaire +3 more sources
Наука Красноярья, 2023 The article proposes the integration of neural networks as a parallel element base in telecommunications systems. In this case, their main advantage, the ability to self-study or adapt to external conditions, will be used.
Pavel A. Sakhnyuk, Tatyana I. Sakhnyuk
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IEEE Access, 2021 Both non-equal trail lengths and non-zero initial errors are practical challenges to learning control of robotic and mechatronic systems. Iterative learning to update input is still desired, because of the repetitive motion nature of the controlled ...
Mingxuan Sun +3 more
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Integrating LiDAR, Multispectral and SAR Data to Estimate and Map Canopy Height in Tropical Forests
Remote Sensing, 2019 Developing accurate methods to map vegetation structure in tropical forests is essential to protect their biodiversity and improve their carbon stock estimation. We integrated LIDAR (Light Detection and Ranging), multispectral and SAR (Synthetic Aperture
J. Camilo Fagua +4 more
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Real-time fast learning hardware implementation
International Journal for Simulation and Multidisciplinary Design Optimization, 2023 Machine learning algorithms are widely used in many intelligent applications and cloud services. Currently, the hottest topic in this field is Deep Learning represented often by neural network structures.
Zhang Ming Jun +2 more
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Teaching Algorithms to Develop the Algorithmic Thinking of Informatics Students
Mathematics, 2022 Modernization and the ever-increasing trend of introducing modern technologies into various areas of everyday life require school graduates with programming skills.
Dalibor Gonda +3 more
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Adaptive Extreme Edge Computing for Wearable Devices
Frontiers in Neuroscience, 2021 Wearable devices are a fast-growing technology with impact on personal healthcare for both society and economy. Due to the widespread of sensors in pervasive and distributed networks, power consumption, processing speed, and system adaptation are vital ...
Erika Covi +6 more
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IEEE Access, 2022 Quantum Cryptography emerged from the limitations of classical cryptography. It will play a vital role in information security after the availability of expected powerful quantum computers.
Chitra Biswas +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata +9 more
wiley +1 more source