Suchergebnisse - stochastic lattice descent algorithm

Optimization and Identification of Lattice Quantizers

Autoren: Agrell, Erik Pook-Kolb, Daniel Allen, Bruce

Quelle: IEEE Transactions on Information Theory. 71(8):6490-6501

Schlagwörter: mean square error, lattice design, numerical optimization, moment of inertia, theta series, Algorithm, stochastic gradient descent, theta image, vector quantization, normalized second moment, laminated lattice, quantization constant, lattice quantization, Voronoi region

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/546282
https://research.chalmers.se/publication/546282/file/546282_Fulltext.pdf

Pairwise stochastic approximation for confirmatory factor analysis of categorical data.

Autoren: Alfonzetti G Bellio R Chen Y et al.

Quelle: The British journal of mathematical and statistical psychology [Br J Math Stat Psychol] 2025 Feb; Vol. 78 (1), pp. 22-43. Date of Electronic Publication: 2024 Apr 27.

Publikationsart: Journal Article; Research Support, Non-U.S. Gov't

Info zur Zeitschrift: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 0004047 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2044-8317 (Electronic) Linking ISSN: 00071102 NLM ISO Abbreviation: Br J Math Stat Psychol Subsets: MEDLINE

MeSH-Schlagworte: Stochastic Processes* , Computer Simulation* , Models, Statistical*, Factor Analysis, Statistical ; Likelihood Functions ; Humans ; Algorithms ; Data Interpretation, Statistical

Unrestricted Sequential Discrete Morphological Neural Networks.

Autoren: Marcondes, Diego Feldman, Mariana Barrera, Junior

Quelle: Journal of Mathematical Imaging & Vision; Aug2025, Vol. 67 Issue 4, p1-22, 22p

Discrete-time quantum walk-based optimization algorithm.

Autoren: Liliopoulos, Ioannis Varsamis, Georgios D. Karafyllidis, Ioannis G.

Quelle: Quantum Information Processing. Jan2024, Vol. 23 Issue 1, p1-16. 16p.

Schlagwörter: *OPTIMIZATION algorithms, *MACHINE learning, *QUANTUM superposition, *PROBLEM solving

Inferring epigenetic dynamics from kin correlations.

Autoren: Hormoz, Sahand Desprat, Nicolas Shraiman, Boris

Quelle: Proceedings of the National Academy of Sciences of USA. 112(18)

Schlagwörter: Bethe lattice, conformal symmetry, correlation functions, stochastic dynamics, Algorithms, Animals, Embryonic Stem Cells, Epigenesis, Genetic, Models, Statistical, Phenotype, Probability, Pseudomonas aeruginosa, Stem Cells, Stochastic Processes

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/5v0726c2
https://escholarship.org/content/qt5v0726c2/qt5v0726c2.pdf

Discrete Morphological Neural Networks.

Autoren: Marcondes, Diego Barrera, Junior

Quelle: SIAM Journal on Imaging Sciences; 2024, Vol. 17 Issue 3, p1650-1689, 40p

Schlagwörter: DIFFERENTIAL operators, MATHEMATICAL morphology, MACHINE learning, IMAGE analysis, MERGERS & acquisitions

Single-Product Assemble-to-Order Systems with Exogenous Lead Times.

Autoren: Muharremoglu, Alp Yang, Nan Geng, Xin

Quelle: Operations Research; May/Jun2024, Vol. 72 Issue 3, p916-939, 24p

Schlagwörter: LEAD time (Supply chain management), POLYNOMIAL time algorithms, OPTIMIZATION algorithms, INVENTORY management systems, STOCHASTIC systems

The Lattice Overparametrization Paradigm for the Machine Learning of Lattice Operators

Autoren: Marcondes, Diego Barrera, Junior

Index Begriffe: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2310.06639

Gradient Descent Algorithm with Greedy Repositioning Using Power Deficit Aggregation of Wakes to Accelerate the Offshore Wind Farm Layout Optimization Problem in Irregular Concession Areas.

Autoren: Gonzalez-Rodriguez, Angel Gaspar Roldan-Fernandez, Juan Manuel Serrano-Gonzalez, Javier et al.

Quelle: Applied Sciences (2076-3417); Dec2024, Vol. 14 Issue 23, p11331, 27p

Schlagwörter: OFFSHORE wind power plants, OPTIMIZATION algorithms, WIND power, ELECTRIC potential, WIND power plants

An Algorithm to Train Unrestricted Sequential Discrete Morphological Neural Networks

Autoren: Marcondes, Diego Feldman, Mariana Barrera, Junior

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2310.04584

A Latent Space Model for Weighted Keyword Co-Occurrence Networks with Applications in Knowledge Discovery in Statistics.

Autoren: Zhang, Yan Pan, Rui Zhu, Xuening et al.

Quelle: Journal of Computational & Graphical Statistics; Jul-Sep2025, Vol. 34 Issue 3, p779-794, 16p

Schlagwörter: WEIGHTED graphs, STATISTICS, COMMUNICATION network analysis, OPTIMIZATION algorithms, STATISTICAL models, DATA mining

A multi-stage descent algorithm for discrete and continuous optimization applied to truss structures optimal design.

Autoren: Sellami, Mohamed

Quelle: Acta Mechanica; Oct2023, Vol. 234 Issue 10, p4837-4857, 21p

Schlagwörter: OPTIMIZATION algorithms, COST functions, ALGORITHMS, PUNCTUALITY, PROBLEM solving

A learning scheme by sparse grids and Picard approximations for semilinear parabolic PDEs.

Autoren: Chassagneux, Jean-François Chen, Junchao Frikha, Noufel et al.

Quelle: IMA Journal of Numerical Analysis; Sep2023, Vol. 43 Issue 5, p3109-3168, 60p

Schlagwörter: ARTIFICIAL neural networks, STOCHASTIC differential equations, STOCHASTIC partial differential equations, PARTIAL differential equations, PARABOLIC differential equations, STANDARD deviations

GRADIENT ESTIMATORS FOR NORMALIZING FLOWS.

Autoren: BIAŁAS, PIOTR KORCYL, PIOTR STEBEL, TOMASZ

Quelle: Acta Physica Polonica B; 2024, Vol. 55 Issue 3, p1-26, 26p

Schlagwörter: MARKOV chain Monte Carlo, MACHINE learning, ALGORITHMS, UNITS of time

Estimation of Quantum Fisher Information via Stein's Identity in Variational Quantum Algorithms

Autoren: Mourad Halla

Quelle: Quantum, Vol 9, p 1798 (2025)

Schlagwörter: Physics, QC1-999

Dateibeschreibung: electronic resource

Relation: https://quantum-journal.org/papers/q-2025-07-21-1798/pdf/; https://doaj.org/toc/2521-327X

Zugangs-URL: https://doaj.org/article/3d0fd8ed0f814913bb0c1cee061b742a

Cellular optical imaging techniques: a dynamic advancing frontier.

Autoren: Li Y Li C Zhou C et al.

Quelle: Science China. Life sciences [Sci China Life Sci] 2025 Nov; Vol. 68 (11), pp. 3242-3280. Date of Electronic Publication: 2025 Jul 16.

Publikationsart: Journal Article; Review

Info zur Zeitschrift: Publisher: Science China Press, co-published with Springer Country of Publication: China NLM ID: 101529880 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1869-1889 (Electronic) Linking ISSN: 16747305 NLM ISO Abbreviation: Sci China Life Sci Subsets: MEDLINE

MeSH-Schlagworte: Optical Imaging*/methods, Algorithms ; Humans ; Image Processing, Computer-Assisted/methods ; Microscopy/methods ; Deep Learning ; Animals ; Imaging, Three-Dimensional/methods ; Single Molecule Imaging/methods ; Microscopy, Fluorescence/methods ; Signal-To-Noise Ratio

The Lattice Overparametrization Paradigm for the Machine Learning of Lattice Operators

Autoren: Diego Marcondes Junior Barrera

Quelle: Lecture Notes in Computer Science ISBN: 9783031577925

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2310.06639

An Algorithm to Train Unrestricted Sequential Discrete Morphological Neural Networks

Autoren: Diego Marcondes Mariana Feldman Junior Barrera

Quelle: Lecture Notes in Computer Science ISBN: 9783031577925

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Zugangs-URL: http://arxiv.org/abs/2310.04584

Gradient Descent Algorithm-Based Adaptive NN Control Design for an Induction Motor.

Autoren: Yang, Xuebo Zheng, Xiaolong

Quelle: IEEE Transactions on Systems, Man & Cybernetics. Systems; Feb2021, Vol. 51 Issue 2, p1027-1034, 8p

Schlagwörter: INDUCTION machinery, ADAPTIVE control systems, INDUCTION motors, TRACKING control systems, STABILITY criterion, LYAPUNOV stability, APPROXIMATION error

Topology optimization under microscale uncertainty using stochastic gradients.

Autoren: De, Subhayan Maute, Kurt Doostan, Alireza

Quelle: Structural & Multidisciplinary Optimization; Jan2023, Vol. 66 Issue 1, p1-28, 28p