Výsledky vyhľadávania - "Learning-Augmented Algorithms"
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Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: Karthik, C S, Lee, E, Rabani, Y, Schwiegelshohn, C & Zhou, S 2025, On Approximability of l 2 2 Min-Sum Clustering. in O Aichholzer & H Wang (eds), 41st International Symposium on Computational Geometry, SoCG 2025., 62, Schloss Dagstuhl-Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, Leibniz International Proceedings in Informatics, LIPIcs, vol. 332, 41st International Symposium on Computational Geometry, SoCG 2025, Kanazawa, Japan, 23/06/2025. https://doi.org/10.4230/LIPIcs.SoCG.2025.62
Predmety: hardness of approximation, polynomial-time approximation schemes, learning-augmented algorithms, ddc:004, Clustering
Popis súboru: application/pdf
Prístupová URL adresa: https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2025.62
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Autori: a ďalší
Zdroj: Environmental Data Science, Vol 4 (2025)
Predmety: Environmental sciences, online algorithms, machine learning robustness, Electronic computers. Computer science, GE1-350, learning-augmented algorithms, QA75.5-76.95, energy systems
Prístupová URL adresa: https://doaj.org/article/c17a1bade3b94dddaa053058ebd846e2
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Autori:
Prispievatelia:
Predmety: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Sorting, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Learning-augmented algorithms, Machine Learning (cs.LG), Shortest Path, Artificial Intelligence (cs.AI), Data structure, Computer Science - Data Structures and Algorithms, Priority queues, Data Structures and Algorithms (cs.DS), Complexity analysis
Popis súboru: application/pdf
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Autori: a ďalší
Prístupová URL adresa: https://openreview.net/forum?id=mirkQqx6po
https://hdl.handle.net/11565/4070016 -
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Autori: a ďalší
Zdroj: Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) ISBN: 9781611977912
Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)Predmety: FOS: Computer and information sciences, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), DYNAMIC ALGORITHM, LEARNING-AUGMENTED ALGORITHMS, ALGORITHMS WITH PREDICTIONS, GRAPH ALGORITHMS, FINE-GRAINED COMPLEXITY, MATRIX MULTIPLICATION
Popis súboru: application/pdf
Prístupová URL adresa: http://arxiv.org/abs/2307.09961
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Autori: a ďalší
Prispievatelia: a ďalší
Predmety: Graph Streaming Algorithms, FOS: Computer and information sciences, Learning-Augmented Algorithms, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), MAX-CUT, ddc:004
Popis súboru: application/pdf
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Autori: a ďalší
Prispievatelia: a ďalší
Predmety: graph algorithms, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), ddc:004, Learning-augmented algorithms, maximum independent set, Machine Learning (cs.LG)
Popis súboru: application/pdf
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Autori:
Prispievatelia:
Predmety: Learning-Augmented Algorithms, Bin Covering, Computer Science - Data Structures and Algorithms, PAC Learning, ddc:004, Online Algorithms with Predictions
Popis súboru: application/pdf
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Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: NeurIPS 2024 - 38th Conference on Neural Information Processing Systems ; https://hal.science/hal-04854076 ; NeurIPS 2024 - 38th Conference on Neural Information Processing Systems, Dec 2024, Vancouver (CA), Canada
Predmety: Priority queues, Complexity analysis, Data structure, Learning-augmented algorithms, Sorting, Shortest Path, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Geografické téma: Vancouver (CA)
Time: Vancouver (CA), Canada
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Autori: a ďalší
Prispievatelia: a ďalší
Popis súboru: application/pdf
Relation: Is Part Of LIPIcs, Volume 317, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2024); https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2024.20
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Prispievatelia:
Popis súboru: application/pdf
Relation: Is Part Of LIPIcs, Volume 317, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2024); https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2024.2
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Autori: a ďalší
Zdroj: ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 9(4), 1-24, (2024-12)
Predmety: Theory of computation, Scheduling algorithms, Computer systems organization, Cloud computing, Energy-Aware Scheduling, Precedence-Constrained Tasks, Learning-Augmented Algorithms
Relation: https://authors.library.caltech.edu/communities/caltechauthors/; https://doi.org/10.1145/3680278
Dostupnosť: https://doi.org/10.1145/3680278
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Autori:
Prispievatelia:
Predmety: GRAPH ALGORITHMS, MAXIMUM FLOW, FORD–FULKERSON, ALGORITHMS WITH PREDICTIONS, LEARNING-AUGMENTED ALGORITHMS
Popis súboru: ELETTRONICO
Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001253808800001; volume:186; firstpage:106487; lastpage:-; journal:INFORMATION PROCESSING LETTERS; https://hdl.handle.net/11565/4066596; https://www.sciencedirect.com/science/article/pii/S0020019024000176
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Autori:
Prispievatelia:
Predmety: online algorithm, [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], Computer Science - Machine Learning, primal-dual, Computer Science - Computer Science and Game Theory, matching problems, Computer Science - Data Structures and Algorithms, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], learning-augmented algorithms, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], predictions, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC], Computer Science - Discrete Mathematics
Popis súboru: application/pdf
Prístupová URL adresa: http://arxiv.org/abs/2402.08701
https://hal.science/hal-03997203v1 -
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Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: Leibniz International Proceedings in Informatics (LIPIcs), 274
31st Annual European Symposium on Algorithms (ESA 2023)Predmety: FOS: Computer and information sciences, Competitive analysis, Theory of computation → Design and analysis of algorithms, Online algorithms, TSP, Learning-augmented algorithms, Algorithms with predictions, [INFO] Computer Science [cs], Theory of computation → Online algorithms, Computer Science - Data Structures and Algorithms, Theory of computation → Parameterized complexity and exact algorithms, Data Structures and Algorithms (cs.DS), ddc:004
Popis súboru: application/pdf; application/application/pdf
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Autori:
Prispievatelia:
Predmety: FOS: Computer and information sciences, Learning-Augmented Algorithms, Predictions, Computer Science - Data Structures and Algorithms, Travelling Salesman Problem, Data Structures and Algorithms (cs.DS), ddc:004, Approximation
Popis súboru: application/pdf
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Autori: a ďalší
Prispievatelia: a ďalší
Predmety: k-median, FOS: Computer and information sciences, online algorithms, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), learning-augmented algorithms, ddc:004, beyond worst-case analysis
Popis súboru: application/pdf
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Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: ALT 2023 - 34th International Conference on Algorithmic Learning Theory ; https://hal.science/hal-03997203 ; ALT 2023 - 34th International Conference on Algorithmic Learning Theory, Feb 2023, Singapore, Singapore. pp.1-18
Predmety: online algorithm, predictions, matching problems, primal-dual, learning-augmented algorithms, [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]
Geografické téma: Singapore
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Autori: a ďalší
Prispievatelia: a ďalší
Predmety: Primal-Dual Method, Optimal Transport, Bipartite Matching, Learning Augmented Algorithms, Additive Approximation Algorithms
Popis súboru: ETD; application/pdf
Prístupová URL adresa: https://hdl.handle.net/10919/124319
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