Výsledky vyhľadávania - "learning-augmented algorithms"
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Autori: a ďalší
Zdroj: ACM Transactions on Algorithms.
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Autori:
Prispievatelia:
Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), [INFO] Computer Science [cs], Machine Learning (cs.LG)
Prístupová URL adresa: http://arxiv.org/abs/2501.12770
https://hal.science/hal-04912539v1 -
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Témy: Thesis, NonPeerReviewed
URL:
https://thesis.library.caltech.edu/17378/ https://resolver.caltech.edu/CaltechTHESIS:06022025-224128103 https://thesis.library.caltech.edu/17378 https://resolver.caltech.edu/CaltechTHESIS:06022025-224128103
CaltechTHESIS:06022025-224128103
10.7907/nyn2-q614 -
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Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: The 15th ACM International Conference on Future and Sustainable Energy Systems. :27-45
Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, 13. Climate action, Distributed, Parallel, and Cluster Computing (cs.DC), 7. Clean energy, Machine Learning (cs.LG)
Popis súboru: application/pdf
Prístupová URL adresa: http://arxiv.org/abs/2404.15211
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Autori:
Predmety: FOS: Computer and information sciences, Computer Science - Computational Complexity, Computer Science - Machine Learning, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), Computational Complexity (cs.CC), Machine Learning (cs.LG)
Prístupová URL adresa: http://arxiv.org/abs/2505.06146
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7
Autori: a ďalší
Predmety: Machine Learning, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), Systems and Control (eess.SY), Systems and Control, Machine Learning (cs.LG)
Prístupová URL adresa: http://arxiv.org/abs/2509.05930
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8
Autori:
Predmety: Machine Learning, FOS: Computer and information sciences, Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), Machine Learning (cs.LG)
Prístupová URL adresa: http://arxiv.org/abs/2501.17701
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9
Autori: a ďalší
Predmety: FOS: Computer and information sciences, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS)
Prístupová URL adresa: http://arxiv.org/abs/2502.00841
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10
Autori: a ďalší
Prispievatelia: a ďalší
Predmety: Machine Learning, Constraint Solvers, Combinatorial Optimization, Algorithm Engineering, ddc:004
Popis súboru: application/pdf
Prístupová URL adresa: https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.10.76
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Autori:
Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), Machine Learning (cs.LG), 68W40 (Primary), 68T05 (Secondary)
Prístupová URL adresa: http://arxiv.org/abs/2506.05479
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Autori: Mohammad H. Hajiesmaili
Zdroj: ACM SIGMETRICS Performance Evaluation Review. 51:53-58
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Autori:
Zdroj: Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures. :141-143
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Autori:
Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence. 37:11989-11996
Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Data Structures and Algorithms, 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 0211 other engineering and technologies, Data Structures and Algorithms (cs.DS), 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Machine Learning (cs.LG)
Popis súboru: application/pdf
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Autori: a ďalší
Prispievatelia: a ďalší
Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), [INFO] Computer Science [cs], Machine Learning (cs.LG)
Prístupová URL adresa: http://arxiv.org/abs/2408.04122
https://hal.science/hal-04682030v1 -
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Autori:
Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence. 36:8744-8752
Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, 0102 computer and information sciences, 01 natural sciences, Machine Learning (cs.LG)
Prístupová URL adresa: http://arxiv.org/abs/2112.05353
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