Výsledky vyhledávání - approximate statistics dynamic programming algorithm*

Establishment and Solution of a Multi-Stage Decision Model Based on Hypothesis Testing and Dynamic Programming Algorithm

Autoři: Liu, Ziyang Hu, Yurui Deng, Yihan

Zdroj: 2024 International Conference on Internet of Things, Robotics and Distributed Computing (ICIRDC). :884-889

Témata: FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, Applications (stat.AP), Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Statistics - Applications

Přístupová URL adresa: http://arxiv.org/abs/2503.05807

An Approximate Dynamic Programming Algorithm for Large-Scale Fleet Management: A Case Application

Autoři: Simão, Hugo P. Day, Jeff George, Abraham P. a další

Zdroj: Transportation Science, 2009 May 01. 43(2), 178-197.

Přístupová URL adresa: https://www.jstor.org/stable/25769444

Constrained many-to-many point matching in two dimensions

Autoři: L.E. Caraballo R. A. Castro José Miguel Díaz-Báñez a další

Přispěvatelé: L.E. Caraballo R. A. Castro José Miguel Díaz-Báñez a další

Zdroj: idUS. Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)

Témata: Combinatorics on Words, Linguistics and Language, Artificial intelligence, Automata Theory and Formal Languages, Approximate Matching, Social Sciences, Geometry, 0102 computer and information sciences, 02 engineering and technology, Dynamic programming, 7. Clean energy, 01 natural sciences, Point (geometry), Artificial Intelligence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Computational intelligence, Melodic similarity, Text Compression and Indexing Algorithms, 4. Education, Statistics, Geometric measure, 16. Peace & justice, Computer science, Computational Theory and Mathematics, Computer Science, Physical Sciences, Matching (statistics), String Matching, Many-to-many matching, Translanguaging Pedagogy in Multilingual Education, Mathematics

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/11441/155627
https://idus.us.es/handle//11441/155627

Real-Time Scheduling Optimization of Integrated Energy Systems in Smart Grids based on Approximate Dynamic Programming

Autoři: Dongzhao Wang Yue Sun Yan Wu a další

Zdroj: Statistics, Optimization & Information Computing. 13:158-172

An Approximate Dynamic Programming Approach to Adversarial Online Learning

Autoři: Kamble, Vijay Loiseau, Patrick Walrand, Jean

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computer Science and Game Theory, Statistics - Machine Learning, Computer Science - Data Structures and Algorithms, 0502 economics and business, 05 social sciences, Data Structures and Algorithms (cs.DS), Machine Learning (stat.ML), 0102 computer and information sciences, 01 natural sciences, Computer Science and Game Theory (cs.GT), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/1603.04981

Approximate Dynamic Programming : Solving the Curses of Dimensionality

Autoři: Warren B. Powell

Resource Type: eBook.

Témata: Dynamic programming

Categories: MATHEMATICS / Probability & Statistics / General

Dynamic programming based optimized product quantization for approximate nearest neighbor search.

Autoři: Cai, Yuanzheng Ji, Rongrong Li, Shaozi

Zdroj: Neurocomputing. Dec2016, Vol. 217, p110-118. 9p.

Témata: *DYNAMIC programming, *NEAREST neighbor analysis (Statistics), *SUBSPACES (Mathematics), *ALGORITHMS, *GRAPH theory

Exact and rapid linear clustering of networks with dynamic programming

Autoři: Alice Patania Antoine Allard Jean-Gabriel Young

Zdroj: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 479

Témata: Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Data Structures and Algorithms, 0103 physical sciences, Computer Science - Social and Information Networks, Data Structures and Algorithms (cs.DS), Statistics - Computation, 01 natural sciences, Computation (stat.CO), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2301.10403

A fully adaptive framework for continuous-state stochastic dynamic programming.

Autoři: Fan, Huiyuan Tarun, Prashant K. Viswanatha, Amith a další

Zdroj: Computers & Operations Research. Nov2025, Vol. 183, pN.PAG-N.PAG. 1p.

Témata: *DYNAMIC programming, *STATISTICS, STATISTICAL models, SPACE exploration, COMPUTER engineering

Deep Neural Networks Algorithms for Stochastic Control Problems on Finite Horizon: Convergence Analysis

Autoři: Côme Huré Huyên Pham Achref Bachouch a další

Přispěvatelé: Côme Huré Huyên Pham Achref Bachouch a další

Zdroj: SIAM Journal on Numerical Analysis. 59:525-557

Témata: dynamic programming, FOS: Computer and information sciences, 90C39, [MATH.MATH-PR] Mathematics [math]/Probability [math.PR], Probability (math.PR), statistical risk AMS subject classifications. 65C05, Deep learning, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], Machine Learning (stat.ML), performance iteration, 93E35, 01 natural sciences, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], convergence analysis, Statistics - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, regress now, quantization, 0101 mathematics, Mathematics - Optimization and Control, 65C05, 90C39, 93E35, 68T07, Mathematics - Probability

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/pdf/1812.04300
http://arxiv.org/abs/1812.04300
https://arxiv.org/pdf/1812.04300.pdf
https://ui.adsabs.harvard.edu/abs/2018arXiv181204300H/abstract
http://ui.adsabs.harvard.edu/abs/2018arXiv181204300H/abstract
https://arxiv.org/abs/1812.04300
https://dblp.uni-trier.de/db/journals/siamnum/siamnum59.html#HurePBL21
https://hal.archives-ouvertes.fr/hal-01949213/document
https://hal.archives-ouvertes.fr/hal-01949213v2
https://epubs.siam.org/doi/abs/10.1137/20M1316640
https://hal.science/hal-01949213v2
https://hal.science/hal-01949213v2/document
https://doi.org/10.1137/20m1316640

An Approximate Dynamic Programming Algorithm for Large-Scale Fleet Management: A Case Application

Autoři: John Nienow Jeff Day Hugo P. Simão a další

Zdroj: Transportation Science. 43:178-197

Témata: 0502 economics and business, 05 social sciences, 11. Sustainability, 0211 other engineering and technologies, 02 engineering and technology

A New Optimal Stepsize for Approximate Dynamic Programming

Autoři: Peter I. Frazier Ilya O. Ryzhov Warren B. Powell

Zdroj: IEEE Transactions on Automatic Control. 60:743-758

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, 0209 industrial biotechnology, Computer Science - Artificial Intelligence, 0211 other engineering and technologies, Machine Learning (stat.ML), Systems and Control (eess.SY), 02 engineering and technology, Electrical Engineering and Systems Science - Systems and Control, 7. Clean energy, Machine Learning (cs.LG), 3. Good health, Artificial Intelligence (cs.AI), Statistics - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Mathematics - Optimization and Control

Přístupová URL adresa: http://arxiv.org/pdf/1407.2676.pdf
http://arxiv.org/abs/1407.2676
https://castlelab.princeton.edu/Papers/Ryzhov-OptimalStepsizeforADPFeb242015.pdf
http://castlelab.princeton.edu/Papers/Ryzhov-OptimalStepsizeforADPFeb242015.pdf
http://dblp.uni-trier.de/db/journals/corr/corr1407.html#RyzhovFP14
https://doi.org/10.1109/TAC.2014.2357134
http://ieeexplore.ieee.org/document/6897935/
https://ieeexplore.ieee.org/document/6897935

Approximate Dynamic Programming : Solving the Curses of Dimensionality

Autoři: Warren B. Powell

Resource Type: eBook.

Témata: Dynamic programming

Categories: MATHEMATICS / Probability & Statistics / General

Efficient approximate algorithms for a class of dynamic lot size problems under product substitution.

Autoři: Huang, Shanming Xue, Feng Yang, Wanshuo

Zdroj: Journal of Industrial & Management Optimization. Jan2024, Vol. 20 Issue 1, p1-24. 24p.

Témata: *DYNAMIC programming, *ALGORITHMS, *PROBLEM solving, POLYNOMIAL time algorithms, BIPARTITE graphs

Online multivariate changepoint detection: leveraging links with computational geometry

Autoři: Pishchagina, Liudmila Romano, Gaetano Fearnhead, Paul a další

Přispěvatelé: Pishchagina, Liudmila Romano, Gaetano Fearnhead, Paul a další

Zdroj: Journal of the Royal Statistical Society Series B: Statistical Methodology.

Témata: dynamic programming, FOS: Computer and information sciences, online changepoint detection, Computation, computational geometry, convex hull, [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST], Computation (stat.CO)

Popis souboru: text

Přístupová URL adresa: http://arxiv.org/abs/2311.01174
https://hal.inrae.fr/hal-05239757v1
https://doi.org/10.1093/jrsssb/qkaf046
https://eprints.lancs.ac.uk/id/eprint/209818/

State abstraction discovery from progressive disaggregation methods

Autoři: Forghieri, Orso Castel, Hind Hyon, Emmanuel a další

Přispěvatelé: Forghieri, Orso Castel, Hind Hyon, Emmanuel a další

Témata: Approximate Dynamic Programming, Markov decision Processes, State abstraction, Reinforcement Learning, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML]

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-05004125v1

A Novel Approach for Sampling in Approximate Dynamic Programming Based on $F$ -Discrepancy

Autoři: Cervellera C Macciò D

Zdroj: IEEE Transactions on Cybernetics 47 (2017): 3355–3366. doi:10.1109/TCYB.2017.2660533
info:cnr-pdr/source/autori:Cervellera C.; Macciò D./titolo:A Novel Approach for Sampling in Approximate Dynamic Programming Based on F-Discrepancy/doi:10.1109%2FTCYB.2017.2660533/rivista:IEEE Transactions on Cybernetics/anno:2017/pagina_da:3355/pagina_a:3366/intervallo_pagine:3355–3366/volume:47

Témata: F -discrepancy, state sampling, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, approximate dynamic programming, Markovian decision problem, 3. Good health

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/28186920
https://europepmc.org/article/MED/28186920
https://ieeexplore.ieee.org/abstract/document/7845579
https://www.ncbi.nlm.nih.gov/pubmed/28186920
http://ieeexplore.ieee.org/document/7845579/
https://dblp.uni-trier.de/db/journals/tcyb/tcyb47.html#CervelleraM17a
https://hdl.handle.net/20.500.14243/326458
https://ieeexplore.ieee.org/document/7845579
https://doi.org/10.1109/TCYB.2017.2660533

Technical Note--An Approximate Dynamic Programming Approach to the Incremental Knapsack Problem.

Autoři: Aouad, Ali Segev, Danny

Zdroj: Operations Research. Jul/Aug2023, Vol. 71 Issue 4, p1414-1433. 20p.

Témata: *DYNAMIC programming, KNAPSACK problems, APPROXIMATION algorithms, BACKPACKS, OPEN-ended questions

Performance Guarantee of an Approximate Dynamic Programming Policy for Robotic Surveillance.

Autoři: Park, Myoungkuk Kalyanam, Krishnamoorthy Darbha, Swaroop a další

Zdroj: IEEE Transactions on Automation Science & Engineering. Apr2016, Vol. 13 Issue 2, p564-578. 15p.

Témata: *DYNAMIC programming, *MARKOV processes, *ROBOTS, *ALGORITHMS, *APPROXIMATION theory

Multi-objective dynamic programming with limited precision

Autoři: L. Mandow J. L. Perez-de-la-Cruz N. Pozas

Zdroj: RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
Universidad de Málaga

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Multi-objective, I.2.8, 0211 other engineering and technologies, Machine Learning (stat.ML), 02 engineering and technology, Dynamic programming, F.2.2, Markov decision processes, Machine Learning (cs.LG), Programación dinámica, Statistics - Machine Learning, Reinforcement learning, 0202 electrical engineering, electronic engineering, information engineering

Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007/s10898-021-01096-x.pdf
http://arxiv.org/abs/2009.08198
https://hdl.handle.net/10630/24040
https://doi.org/10.1007/s10898-021-01096-x
https://hdl.handle.net/10630/24040
https://dblp.uni-trier.de/db/journals/corr/corr2009.html#abs-2009-08198
https://link.springer.com/content/pdf/10.1007/s10898-021-01096-x.pdf
http://dblp.uni-trier.de/db/journals/corr/corr2009.html#abs-2009-08198
https://link.springer.com/article/10.1007/s10898-021-01096-x