Výsledky vyhľadávania - stochastic divide and conquer algorithms~

Likelihood Inference for Large Scale Stochastic Blockmodels With Covariates Based on a Divide-and-Conquer Parallelizable Algorithm With Communication

Autori: Roy, Sandipan Atchadé, Yves Michailidis, George

Zdroj: Journal of Computational and Graphical Statistics, 2019 Sep 01. 28(3), 609-619.

Prístupová URL adresa: https://www.jstor.org/stable/45218457

On the analysis of stochastic divide and conquer algorithms

Autori: Uwe Rösler

Zdroj: Algorithmica. 29:238-261

Predmety: stochastic divide and conquer algorithms, Quicksort, 0102 computer and information sciences, 0101 mathematics, Nonnumerical algorithms, 01 natural sciences

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/1563068
https://dblp.uni-trier.de/db/journals/algorithmica/algorithmica29.html#Rosler01
https://link.springer.com/content/pdf/10.1007/BF02679621.pdf
https://link.springer.com/article/10.1007/BF02679621

Forecasting Crude Oil Price Using Kalman Filter Based on the Reconstruction of Modes of Decomposition Ensemble Model

Autori: Wei Gao Muhammad Aamir Ani Shabri a ďalší

Zdroj: IEEE Access, Vol 7, Pp 149908-149925 (2019)

Predmety: Forecast Combination, Artificial intelligence, Demand Forecasting, 0211 other engineering and technologies, Social Sciences, Divide and conquer algorithms, 02 engineering and technology, Autoregressive model, Decision Sciences, Filter (signal processing), Engineering, Average mutual information, 0202 electrical engineering, electronic engineering, information engineering, Autoregressive conditional heteroskedasticity, Geography, Ensemble forecasting, Algorithm, Economics, Econometrics and Finance, Physical Sciences, West Texas Intermediate, crude oil price, Electrical engineering. Electronics. Nuclear engineering, Kalman filter, Geodesy, Economics and Econometrics, reconstruction, Time series, Electricity Price and Load Forecasting Methods, deterministic and stochastic components, Management Science and Operations Research, Hilbert–Huang transform, FOS: Economics and business, Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, QA Mathematics, Econometrics, Electrical and Electronic Engineering, Volatility (finance), Autoregressive integrated moving average, Electricity Price Forecasting, Load Forecasting, decomposition ensemble model, Computer science, TK1-9971, Impact of Oil Price Shocks on Economy, Time Series Forecasting Methods, Computer vision, Benchmark (surveying), Mathematics, Forecasting

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08864986.pdf
https://doaj.org/article/d78bfc1fd7404763ad6a9ed5be5925d8
https://dblp.uni-trier.de/db/journals/access/access7.html#GaoASDA19
https://doaj.org/article/d78bfc1fd7404763ad6a9ed5be5925d8
https://ieeexplore.ieee.org/document/8864986

On the Analysis of Stochastic Divide and Conquer Algorithms.

Autori: Uwe Rösler The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Uwe Rösler The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www-computerlabor.math.uni-kiel.de/stochastik/roesler/research/divide.ps.

Popis súboru: application/postscript

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.5855

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.5855
http://www-computerlabor.math.uni-kiel.de/stochastik/roesler/research/divide.ps

On the analysis of stochastic divide and conquer algorithms.

Autori: Rösler, U.

Zdroj: Algorithmica; Feb2001, Vol. 29 Issue 1/2, p238-261, 24p

Asymptotic distributions for Random Median Quicksort

Autori: Hassan M. Okasha U. Rösler

Zdroj: Journal of Discrete Algorithms. 5:592-608

Predmety: Recursive equation, Sorting algorithm, 02 engineering and technology, 01 natural sciences, Theoretical Computer Science, Stochastic fixed point equation, Computational Theory and Mathematics, Contraction method, Analysis of algorithm, 0202 electrical engineering, electronic engineering, information engineering, Discrete Mathematics and Combinatorics, Quicksort, Euler differential equation, 0101 mathematics, Divide-and-conquer algorithm

Prístupová URL adresa: https://www.sciencedirect.com/science/article/abs/pii/S1570866706000712
https://dblp.uni-trier.de/db/journals/jda/jda5.html#OkashaR07
https://www.sciencedirect.com/science/article/pii/S1570866706000712
https://dl.acm.org/doi/10.1016/j.jda.2006.07.003
https://core.ac.uk/display/81966315

Iterative stochastic subspace self-consistent field method.

Autori: Loos, Pierre-François Rivail, Jean-Louis Assfeld, Xavier

Zdroj: Journal of Molecular Modeling. Jun2017, Vol. 23 Issue 6, p1-6. 6p.

Predmety: *SELF-consistent field theory, *STOCHASTIC processes, *HYDROGEN, *ALGORITHMS, *CHEMICAL chains

A simple expected running time analysis for randomized “divide and conquer” algorithms

Autori: Dean, Brian C.¹ bdean@theory.csail.mit.edu

Zdroj: Discrete Applied Mathematics. Jan2006, Vol. 154 Issue 1, p1-5. 5p.

Predmety: *STOCHASTIC processes, *ALGORITHMS, *ALGEBRA, *FOUNDATIONS of arithmetic

An Effective Algorithm to Find a Cost Minimizing Gateway Deployment for Node-Replaceable Wireless Sensor Networks

Autori: Sun-Ho Choi Yoonkyung Jang Hyowon Seo a ďalší

Zdroj: Sensors, Vol 21, Iss 5, p 1732 (2021)

Predmety: wireless sensor networks (WSNs), internet of things (IoT), optimal gateway deployment, divide and conquer, Chemical technology, TP1-1185

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/21/5/1732; https://doaj.org/toc/1424-8220

Prístupová URL adresa: https://doaj.org/article/08f3a1a4783049ebad28ac8023f145ee

Learning Large Scale Ordinal Ranking Model via Divide-and-Conquer Technique

Autori: Sougata Chaudhuri Ling Zhou Abraham Bagherjeiran a ďalší

Zdroj: Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18. :1901-1909

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Prístupová URL adresa: http://dl.acm.org/ft_gateway.cfm?id=3191658&type=pdf
https://doi.acm.org/10.1145/3184558.3191658
https://dblp.uni-trier.de/db/conf/www/www2018c.html#TangCBZ18

Asymptotic distributions for Random Median Quicksort

Autori: Okasha, H.M. Rösler, U.

Zdroj: Journal of Discrete Algorithms. Sep2007, Vol. 5 Issue 3, p592-608. 17p.

Predmety: Stochastic analysis, Estimation theory, Stochastic processes, Asymptotic distribution

New statistical perspectives on efficient Big Data algorithms for high-dimensional Bayesian regression and model selection

Autori: Ahfock, Daniel Christian Richardson, Sylvia Astle, William

Prispievatelia: Ahfock, Daniel Christian Richardson, Sylvia Astle, William

Predmety: Bayesian model selection, Random projection, Big Data

Prístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774731

Graph sub-sampling for divide-and-conquer algorithms in large networks.

Autori: Yanchenko, Eric

Zdroj: Statistics & Computing; Aug2025, Vol. 35 Issue 4, p1-17, 17p

A Fault Section Location Method for Distribution Networks Based on Divide-and-Conquer.

Autori: Zhao, Qiao Wang, Zengping Li, Guomin a ďalší

Zdroj: Applied Sciences (2076-3417); May2023, Vol. 13 Issue 10, p5974, 39p

Predmety: FAULT location (Engineering), PROBLEM solving

Modeling and simulation of parallel adaptive divide-and-conquer algorithms.

Autori: Barros, Fernando J.

Zdroj: Journal of Supercomputing; Mar2008, Vol. 43 Issue 3, p241-255, 15p, 8 Diagrams, 1 Chart, 1 Graph

Predmety: COMPUTER architecture, SYSTEMS development, COMPUTER systems, ALGORITHMS, COMPUTER science, COMPUTER input-output equipment

Deterministic Divide-and-Conquer Algorithm for Decomposable Black-Box Optimization Problems with Bounded Difficulty.

Autori: Tzai-Der Wang Xiaodong Li Shu-Heng Chen a ďalší

Zdroj: Simulated Evolution & Learning; 2006, p252-260, 9p

Multi-stage mine production timetabling with optimising the sizes of mining operations: an application of parallel-machine flow shop scheduling with lot streaming.

Autori: Liu, Shi Qiang Kozan, Erhan Masoud, Mahmoud a ďalší

Zdroj: Annals of Operations Research; May2025, Vol. 348 Issue 2, p1-27, 27p

Predmety: FLOW shop scheduling, JOB shops, STRIP mining, MATHEMATICAL optimization, MACHINE theory, HEURISTIC programming

Random Seeking: A General, Efficient and Informed Randomized Scheme for Dynamic Load Balancing.

Autori: Mahapatra, Nihar R. Dutt, Shantanu Rajasekaran, Sanguthevar a ďalší

Zdroj: International Journal of Foundations of Computer Science. Jun2000, Vol. 11 Issue 2, p231. 16p.

Predmety: *STOCHASTIC processes, *ALGORITHMS, *COMPUTER programming

Markov Clustering-Based Placement Algorithm for Hierarchical FPGAs ^* [*] Supported by the National Natural Science Foundation of China (No. 60833004)

Autori: Dai, Hui Zhou, Qiang Bian, Jinian

Zdroj: Tsinghua Science & Technology. Feb2011, Vol. 16 Issue 1, p62-68. 7p.

Predmety: Markov processes, Multilevel models, Field programmable gate arrays, Algorithms, Stochastic matrices

Geografický termín: China

LEARNING ORDINAL REGRESSION MODEL VIA DIVIDE-AND-CONQUER TECHNIQUE