Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo by Robert J. Webber, Michael Lindsey

“…First, based on theoretical convergence analysis in a noiseless setting, we motivate a new optimizer that we call the Rayleigh-Gauss-Newton method, which can improve upon gradient descent and natural gradient descent to achieve superlinear convergence at no more than twice the computational cost. …”
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Comparison of Different Parameters of Feedforward Backpropagation Neural Networks in DEM Height Estimation for Different Terrain Types and Point Distributions by Alper Sen, Kutalmis Gumus

“…The accuracy of the Levenberg–Marquardt training function was the best, whereas the most significantly different training functions, gradient descent backpropagation and gradient descent with momentum and adaptive learning rule backpropagation, were the worst. …”
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Unlocking the gate by Monica Mitchell, Uzoma J. Chikwem, Olatokunbo S. Fashola, Derrick J. Swinton

“…A total of 1,188 undergraduate students of African descent completed an end-of-semester survey on the use of UTAs in gatekeeper mathematics courses. …”
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The extent and importance of intragenic recombination by de Silva Eric, Kelley Lawrence A, Stumpf Michael PH

“…Each gene was extensively sequenced in 24 individuals of African descent and 23 individuals of European descent, and the recombination process was studied separately in the two population samples. …”
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Multi-Task Learning Using Gradient Balance and Clipping with an Application in Joint Disparity Estimation and Semantic Segmentation by Yiyou Guo, Chao Wei

“…Meanwhile, we perform a series of ablation studies to have a deep analysis of gradient descent for MTL.…”
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Optical Recognition of Handwritten Logic Formulas Using Neural Networks by Vaios Ampelakiotis, Isidoros Perikos, Ioannis Hatzilygeroudis, George Tsihrintzis

“…More specifically, after three training algorithms (backpropagation, resilient propagation and stochastic gradient descent) had been tested, we created and trained an NN with the stochastic gradient descent algorithm, optimized by the Adam update rule, which was proved to be the best, using a trainset of 16,750 handwritten image samples of 28 × 28 each and a testset of 7947 samples. …”
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Analysis of Gradient Vanishing of RNNs and Performance Comparison by Seol-Hyun Noh

“…This study provided a theoretical and experimental basis for the result that LSTM and GRU have more efficient gradient descent than the standard RNN by analyzing and experimenting the gradient vanishing of the standard RNN, LSTM, and GRU. …”
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Representation of multicultural value in animation film Upin-Ipin seasion 6 "Ghost Month" by Sudono Sudono, RB Hendri Kuswatoro

“…The results of the study show that the animated film Upin and Ipin presents multicultural values as part of their Islamic identity, which is reflected in their friendly relationships with characters such as Jarjit (of Indian descent) and Mei-mei (of Chinese descent). Despite coming from different religious and ethnic backgrounds, Upin-Ipin and their friends can interact harmoniously, creating an inclusive playing environment.…”
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Automating the updated grade severity rating system (GSRS) using the Visual Basic.net programming language by Vincent Michael Ampadu, Khaled Ksaibati

“…The primary beneficiaries of this software will be the highway agencies who will be able to estimate the maximum safe speed of descent for trucks with various weight categories and hence produce Weight Specific Speed (WSS) signs for each downgrade or a multigrade section. …”
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New auction algorithms for the assignment problem and extensions by Dimitri Bertsekas

“…Mathematically, aggressive bidding relies on a notion of approximate coordinate descent in dual space, an ϵ-complementary slackness condition to regulate the amount of descent approximation, and the idea of ϵ-scaling to resolve efficiently the price wars that occur naturally as multiple bidders compete for a smaller number of valuable objects. …”
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A Conjugate Gradient Method: Quantum Spectral Polak–Ribiére–Polyak Approach for Unconstrained Optimization Problems by Kin Keung Lai, Shashi Kant Mishra, Bhagwat Ram, Ravina Sharma

“…Among the diverse quantum algorithms, quantum gradient descent has become a prominent technique for solving unconstrained optimization (UO) problems. …”
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A Natural Gradient Algorithm for Stochastic Distribution Systems by Zhenning Zhang, Huafei Sun, Linyu Peng, Lin Jiu

“…In this paper, we propose a steepest descent algorithm based on the natural gradient to design the controller of an open-loop stochastic distribution control system (SDCS) of multi-input and single output with a stochastic noise. …”
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A Stein variational Newton method by Marzouk, Youssef M, Spantini, Alessio

“…Stein variational gradient descent (SVGD) was recently proposed as a general purpose nonparametric variational inference algorithm [Liu & Wang, NIPS 2016]: it minimizes the Kullback-Leibler divergence between the target distribution and its approximation by implementing a form of functional gradient descent on a reproducing kernel Hilbert space. …”
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Development of a light aircraft model for the NTU flight simulator by Lee, Kok Vui.

“…Parameters regarding the take-off, cruise and descent performances were obtained for validation purposes. …”
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Complex-valued neuro-fuzzy inference system for wind prediction by Suresh, Sundaram, Subramanian, K., Savitha, R.

“…In this paper, we present a complex-valued neuro-fuzzy inference system (CNFIS) and its gradient descent based learning algorithm developed employing Wirtinger calculus. …”
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SOME CONSEQUENCES OF THE SUBDUCTION OF YOUNG SLABS by England, P, Wortel, R

“…Estimates can be made of the slab age, as a function of descent velocity, at which the driving forces are no longer sufficient to overcome a given resisting force. …”

The DREAMS experiment on the ExoMars 2016 mission for the study of Martian environment during the dust storm season by Bettanini, C, Esposito, F, Debei, S, Molfese, C, Rodriguez, I, Colombatti, G, Harri, A, Montmessin, F, Wilson, C, Aboudan, A, Abbaki, S, Apestigue, V, Bellucci, G, Berthelier, J, Brucato, JR, Calcutt, S, Cortecchia, F, Di Achille, G, Ferri, F, Forget, F, Guizzo, G, Friso, E, Genzer, M, Gilbert, P, Haukka, H

“…The first mission consists of an orbiter and an Entry Descent and Landing Demonstrator Module (EDM) to be launched in January 2016 and is scheduled to land on the planet during the statistical dust storm season; the second mission includes a descent module, a surface platform and a rover and will be launched in 2018. …”

Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman by Lukman, Nur Ashyda

“…Gradient Descent (GCD) algorithm was concluded as the most suitable algorithm based on the value of error measure. …”
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VUB-CYBERLEGs CYBATHLON 2016 Beta-Prosthesis: case study in control of an active two degree of freedom transfemoral prosthesis by Louis L. Flynn, Joost Geeroms, Tom van der Hoeven, Bram Vanderborght, Dirk Lefeber

“…Tasks for CYBATHLON 2016 were chosen to reflect everyday normal task such as sitting and standing from a chair, obstacle avoidance, stepping stones, slope walking and descent, and stair climbing and descent. Methods The control schemata were presented along with the description of each of the six tasks. …”
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High‐resolution diving data collected from foraging area reveal that leatherback turtles dive faster to forage longer by Amy Migneault, Ashley Bennison, Thomas K. Doyle, Michael C. James

“…We recorded a mean dive descent rate of 0.32 m/s, which is faster than values recorded for leatherbacks in tropical waters. …”
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