Výsledky vyhľadávania - "learning-augmented algorithm"
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1
Autori:
Prispievatelia:
Predmety: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Computer Science - Machine Learning, Competitive analysis, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Data Structures and Algorithms, Online algorithms, Scheduling Algorithm, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Data Structures and Algorithms (cs.DS), Learning augmented algorithm, Machine Learning (cs.LG)
Popis súboru: application/pdf
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2
Autori: a ďalší
Prispievatelia: a ďalší
Predmety: Theory of computation → Design and analysis of algorithms, learning-augmented algorithm, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], scheduling, ddc:004, online
Popis súboru: application/pdf
Prístupová URL adresa: https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2023.9
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3
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Zdroj: Lecture Notes in Computer Science ISBN: 9783031183669
Predmety: FOS: Computer and information sciences, Online algorithm, Computer Science - Data Structures and Algorithms, Canadian Traveller Problem, Data Structures and Algorithms (cs.DS), 0102 computer and information sciences, [INFO] Computer Science [cs], 01 natural sciences, Learning augmented algorithm
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4
Autori: a ďalší
Prispievatelia: a ďalší
Predmety: Network design problems, FOS: Computer and information sciences, Computer Science - Machine Learning, Routing problem, Online graph problem, 0211 other engineering and technologies, Algorithms with prediction, 0102 computer and information sciences, 02 engineering and technology, Learning-augmented algorithms, Algorithms with predictions, Error measures, Online graph problems, Routing problems, 01 natural sciences, Capture error, Graph problems, Hyper graph, Hyperedges, Minimum cost, Performance guarantees, Steiner trees, Tree location, Machine Learning (cs.LG), Computer Science - Data Structures and Algorithms, Learning-augmented algorithm, Data Structures and Algorithms (cs.DS), Error measure
Popis súboru: application/pdf
Prístupová URL adresa: http://arxiv.org/abs/2205.12850
https://hdl.handle.net/11368/3052519
https://proceedings.neurips.cc/paper_files/paper/2022/hash/15212bd2265c4a3ab0dbc1b1982c1b69-Abstract-Conference.html
https://research.vu.nl/en/publications/91e9ecfb-fa45-469b-9b36-0c487d9f0a0b
https://hdl.handle.net/1871.1/91e9ecfb-fa45-469b-9b36-0c487d9f0a0b
https://hdl.handle.net/2434/1131795
https://proceedings.neurips.cc/paper_files/paper/2022/hash/15212bd2265c4a3ab0dbc1b1982c1b69-Abstract-Conference.html
https://hdl.handle.net/11573/1685775 -
5
Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: https://hal.science/hal-04361128 ; 2023.
Predmety: Predictions, Online algorithm with advice, Covering problems, Primal-dual Algorithm, learning-augmented algorithm, non-linear objective, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-RO]Computer Science [cs]/Operations Research [math.OC]
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6
Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: https://hal.science/hal-04297794 ; 2023.
Predmety: primal-dual, online covering, convex regularization, learning-augmented algorithm, multiple experts, online algorithm, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-RO]Computer Science [cs]/Operations Research [math.OC]
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7
Autori: a ďalší
Prispievatelia: a ďalší
Predmety: Learning-augmented algorithm, Algorithms with prediction, Error measure, Online graph problem, Routing problem, Network design problems
Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001213927501012; ispartofbook:Advances in Neural Information Processing Systems; 36th Conference on Neural Information Processing Systems, NeurIPS 2022; volume:35; firstpage:"-"; lastpage:"-"; numberofpages:13; serie:ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS; https://hdl.handle.net/11368/3052519
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8
Autori: a ďalší
Témy: scheduling, online, learning-augmented algorithm, InProceedings, Text, doc-type:ResearchArticle, publishedVersion
URL:
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2023.9
Is Part Of LIPIcs, Volume 283, 34th International Symposium on Algorithms and Computation (ISAAC 2023)
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