Search Results - stochastic lattice descent algorithm

Unrestricted Sequential Discrete Morphological Neural Networks by Marcondes, Diego, Feldman, Mariana, Barrera, Junior

“… Furthermore, in the case of binary images, they are approximations that lose the Boolean lattice structure of MM operators and, thus, it is not possible to represent a specific class of W-operators…”
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The Lattice Overparametrization Paradigm for the Machine Learning of Lattice Operators by Marcondes, Diego, Barrera, Junior

“…The machine learning of lattice operators has three possible bottlenecks. From a statistical standpoint, it is necessary to design a constrained class…”
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Optimization and Identification of Lattice Quantizers by Agrell, Erik, Pook-Kolb, Daniel, Allen, Bruce

“… Starting from a random lower-triangular generator matrix and applying stochastic gradient descent, all elements are updated towards the negative gradient, which makes it the most efficient algorithm…”
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An Algorithm to Train Unrestricted Sequential Discrete Morphological Neural Networks by Marcondes, Diego, Feldman, Mariana, Barrera, Junior

“… Furthermore, in the case of binary images, they are approximations that loose the Boolean lattice structure of MM operators and, thus, it is not possible to represent a specific class of W-operators…”
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Fast curvature matrix-vector products for second-order gradient descent by Schraudolph, Nicol N

“… special curvature matrix-vector products that can be computed in O(n). Two recent acceleration techniques for on-line learning, matrix momentum and stochastic meta-descent (SMD…”
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A TL_FLAT Model for Chinese Text Datasets of UAV Power Systems: Optimization and Performance by Shen, Mingming, Li, Shaobo, Yang, Jing, Zhang, Ansi, He, Qiuchen, Pu, Ruiqiang

“… Herein, first, the flat-lattice transformer (FLAT) model was optimized by using a stochastic gradient descent with momentum (SGDM…”
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Inferring epigenetic dynamics from kin correlations by Hormoz, Sahand, Desprat, Nicolas, Shraiman, Boris I

“…Populations of isogenic embryonic stem cells or clonal bacteria often exhibit extensive phenotypic heterogeneity that arises from intrinsic stochastic dynamics of cells…”
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Multichannel recursive-least-square algorithms and fast-transversal-filter algorithms for active noise control and sound reproduction systems by Bouchard, M., Quednau, S.

“…) algorithms are known to produce a faster convergence speed than stochastic gradient descent techniques, such as the basic least-mean-squares (LMS…”
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Generating the optical vortex by optimizing beam arrangement of the coherent laser array by Long, Jinhu, Chang, Hongxiang, Zhang, Jiayi, Chang, Qi, Su, Rongtao, Ma, Pengfei, Zhou, Pu

“…•A method of coherent beam combining architecture to directly generate the optical vortices without complex phase modulation was proposed.•A lot of interesting…”
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Generation of optical vortex lattices by a coherent beam combining system by Long, Jinhu, Hou, Tianyue, Chang, Qi, Yu, Tao, Su, Rongtao, Ma, Pengfei, Ma, Yanxing, Zhou, Pu, Si, Lei

“… In the experiment, by utilizing the stochastic parallel gradient descent algorithm, the dynamic phase noises were compensated…”
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A structural optimization algorithm with stochastic forces and stresses by Chen, Siyuan, Zhang, Shiwei

“…We propose an algorithm for optimizations in which the gradients contain stochastic noise…”
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A morphological perceptron with gradient-based learning for Brazilian stock market forecasting by ARAUJO, Ricardo De A

“…) and lattice theory (LT). This model is generically called the increasing morphological perceptron (IMP…”
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Concurrent multi-peak Bragg coherent x-ray diffraction imaging of 3D nanocrystal lattice displacement via global optimization by Maddali, Siddharth, Frazer, Travis D., Delegan, Nazar, Harmon, Katherine J., Sullivan, Sean E., Allain, Marc, Cha, Wonsuk, Dibos, Alan, Poudyal, Ishwor, Kandel, Saugat, Nashed, Youssef S. G., Heremans, F. Joseph, You, Hoydoo, Cao, Yue, Hruszkewycz, Stephan O.

“… We present this forward model, we implement it within the stochastic gradient descent optimization framework, and we demonstrate it with simulated…”
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A comparison of two optimization techniques for sequence discriminative training of deep neural networks by Saon, George, Soltau, Hagen

“…: distributed Hessian-free (DHF) and stochastic gradient descent (SGD). Our findings on two different LVCSR tasks suggest that SGD running on a single GPU machine achieves the best accuracy…”
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Parameter Estimation and Inference of Spatial Autoregressive Model by Stochastic Gradient Descent by Luan, Gan

“…Stochastic gradient descent (SGD) is a popular iterative method for model parameter estimation in large-scale data and online learning settings since it goes through the data in only one pass…”
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On the asymptotically stochastic computational modeling of microstructures by Cox, Dennis D., Klouček, Petr, Reynolds, Daniel R.

“… Such situations frequently arise when atomic lattice structure plays an important role at the mesoscopic continuum level…”
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Exploiting the Symmetry of Zn: Randomization and the Automorphism Problem: Exploiting the Symmetry of Zn\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathbb {Z}^n$$\end{document} by Jiang, Kaijie, Wang, Anyu, Luo, Hengyi, Liu, Guoxiao, Yu, Yang, Wang, Xiaoyun

“…Z n is one of the simplest types of lattices, but the computational problems on its rotations, such as Z SVP and Z LIP, have been of great interest in cryptography…”
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Energy landscape paving with local search for global optimization of the BLN off-lattice model by Liu, Jingfa, Huang, Weibo, Liu, Wenjie, Song, Beibei, Sun, Yuanyuan, Chen, Mao

“… The low-energy conformational search problem in the hydrophobic-hydrophilic-neutral (BLN) off-lattice model is studied…”
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R-Mgspline: Retrospective Multi-Gradient Search for Multi-Objective Simulation Optimization on Integer Lattices by Applegate, Eric A., Hunter, Susan R.

“…) algorithm for finding a local efficient point when solving a multi-objective simulation optimization problem on an integer lattice…”
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Discrete-time quantum walk-based optimization algorithm by Liliopoulos, Ioannis, Varsamis, Georgios D., Karafyllidis, Ioannis G.

“… We developed a novel quantum optimization algorithm based on discrete-time quantum walks that evolve under the effect of external potentials…”
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