Damped Newton Stochastic Gradient Descent Method for Neural Networks Training by Jingcheng Zhou, Wei Wei, Ruizhi Zhang, Zhiming Zheng

Subjects: “…stochastic gradient descent…”
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MARSWRF Prediction of Entry Descent Landing Profiles: Applications to Mars Exploration by Ricardo Morais Fonseca, María‐Paz Zorzano, Javier Martín‐Torres

“…Abstract In this paper we use the Mars implementation of the Planet Weather Research and Forecasting model, MarsWRF, to simulate the Entry, Descent and Landing (EDL) vertical profiles from six past missions: Pathfinder, Mars Exploration Rovers Opportunity and Spirit, Phoenix, Mars Science Laboratory Curiosity rover, and ExoMars 2016 (Schiaparelli), and compare the results with observed data. …”
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Assessment of genetic resistance to crown gall in roots of apricot hybrid descents by J. Tsiantos, P. Psallidas, J.M.S. Martins

“…Segregation of characters was observed in all the descents, demonstrating the heterozygotic nature of the parent cultivars. …”
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Identification of Inhomogeneities: The Selected Coordinate Descent Method Applied in the Drilling Area by Tatyana Smaglichenko, Alexander Smaglichenko

“…In this paper, an innovative option of the traditional coordinate descent method called selected coordinate descent, was investigated by collating its fundamentals with other methods used in various industrial branches. …”
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The Katabasis Trope and a Descent into Future in Margaret Atwood’s The Handmaid’s Tale by Marija Nešić, Milena Kaličanin

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Narcocine : la descente aux enfers du cinéma populaire mexicain by Emmanuel Vincenot

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Adaptive Stochastic Gradient Descent Method for Convex and Non-Convex Optimization by Ruijuan Chen, Xiaoquan Tang, Xiuting Li

Subjects: “…stochastic gradient descent…”
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A New sufficient descent Conjugate Gradient Method for Nonlinear Optimization by Dr. Basim A. Hassan, Omer M. Esmaeel

“…In this paper, a new conjugate gradient method based on exact step size which produces sufficient descent search direction at every iteration is introduced. …”
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Laplacian-based semi-Supervised learning in multilayer hypergraphs by coordinate descent by Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco

“…We solve the problem using different coordinate descent approaches and compare the results with the ones obtained by the classic gradient descent method. …”
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Implicit Stochastic Gradient Descent Method for Cross-Domain Recommendation System by Nam D. Vo, Minsung Hong, Jason J. Jung

“…Mainly, by adopting the implicit stochastic gradient descent algorithm to optimize the objective function for prediction, multiple matrices from different domains are consolidated inside the cross-domain recommendation system (CDRS). …”
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Analysis and design of gradient descent based pre‐synchronization control for synchronverter by Hariharan R, Mahesh K. Mishra

“…In this work, a simple gradient descent based pre‐synchronization control for SV scheme is proposed that varies the reference frequency in SV control alone. …”
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An Enhanced Optimization Scheme Based on Gradient Descent Methods for Machine Learning by Dokkyun Yi, Sangmin Ji, Sunyoung Bu

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Optimizing Retention Bunkers in Copper Mines with Numerical Methods and Gradient Descent by Piotr Bortnowski, Robert Król, Natalia Suchorab-Matuszewska, Maksymilian Ozdoba, Mateusz Szczerbakowicz

“…The optimization approach used a constrained gradient descent algorithm to minimize factors like particle velocity and pressure force, while maintaining the efficiency of the bin. …”
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An Effective Partitional Crisp Clustering Method Using Gradient Descent Approach by Soroosh Shalileh

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Pharmacogenetics of tamoxifen in breast cancer patients of African descent: Lack of data by Bianca Kruger, Delva Shamley, Nyarai Desiree Soko, Collet Dandara

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Function approximation method based on weights gradient descent in reinforcement learning by Xiaoyan QIN, Yuhan LIU, Yunlong XU, Bin LI

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A waypoint-driven gradient descent solution for a parallel robot by Valdes, Gabriel(Gabriel D.)

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A Unified Approach to Controlling Implicit Regularization Using Mirror Descent by Sun, Haoyuan

“…In particular, there has been substantial effort to characterize the solutions preferred by the optimization algorithms, such as gradient descent (GD), something referred to as implicit regularization. …”
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Engine placement for manned descent at Mars considering single engine failures by York, Stephen P. (Stephen Patrick)

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Polytopes, generating functions, and new statistics related to descents and inversions in permutations by Chebikin, Denis

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