Výsledky vyhľadávania - "automated algorithm configuration"

How Much Data Is Sufficient to Learn High-Performing Algorithms?: How much data is sufficient to learn high-performing algorithms?

Autori: Maria-Florina Balcan Dan Deblasio Travis Dick a ďalší

Zdroj: Journal of the ACM. 71:1-58

Predmety: 0301 basic medicine, data-driven algorithm design, 0303 health sciences, 03 medical and health sciences, machine learning, computational biology, General topics in the theory of algorithms, Learning and adaptive systems in artificial intelligence, automated algorithm design, automated algorithm configuration

Popis súboru: application/xml

Improved Sample Complexity Bounds for Branch-And-Cut

Autori: Balcan, Maria-Florina Prasad, Siddharth Sandholm, Tuomas a ďalší

Prispievatelia: Balcan, Maria-Florina Prasad, Siddharth Sandholm, Tuomas a ďalší

Predmety: Automated algorithm configuration, integer programming, machine learning theory, tree search, branch-and-bound, branch-and-cut, cutting planes, sample complexity, generalization guarantees, data-driven algorithm design

Popis súboru: application/pdf

Relation: Is Part Of LIPIcs, Volume 235, 28th International Conference on Principles and Practice of Constraint Programming (CP 2022); https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2022.3

Dostupnosť: https://doi.org/10.4230/LIPIcs.CP.2022.3
https://nbn-resolving.org/urn:nbn:de:0030-drops-166321
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2022.3

On the importance of reward design in reinforcement learning-based dynamic algorithm configuration:a case study on OneMax with (1+(λ,λ))-GA

Autori: Nguyen, Tai Le, Phong Biedenkapp, André a ďalší

Zdroj: Nguyen , T , Le , P , Biedenkapp , A , Doerr , C & Dang , N 2025 , On the importance of reward design in reinforcement learning-based dynamic algorithm configuration : a case study on OneMax with (1+(λ,λ))-GA . in Proceedings of the genetic and evolutionary computation conference 2025 (GECCO '25) . ACM , New York , pp. 1162 - 1171 . https://doi.org/10.1145/3712256.3726395

Predmety: Automated algorithm configuration, Deep reinforcement learning

Relation: urn:ISBN:9798400714658

Dostupnosť: https://research-portal.st-andrews.ac.uk/en/publications/c2f96b56-a935-4a89-8d4d-8b0ca250375d
https://doi.org/10.1145/3712256.3726395

Automated Algorithm Selection: Survey and Perspectives

Autori: Kerschke, P. Hoos, H.H. Neumann, F. a ďalší

Zdroj: Evolutionary Computation. 27:3-45

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, data streams, Information Storage and Retrieval, Machine Learning (stat.ML), 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Decision Support Techniques, Pattern Recognition, Automated, Machine Learning (cs.LG), Statistics - Machine Learning, feature-based approaches, Surveys and Questionnaires, metalearning, 0202 electrical engineering, electronic engineering, information engineering, Automated algorithm selection, Humans, Computer Simulation, exploratory landscape analysis, 4. Education, automated algorithm configuration, 16. Peace & justice, combinatorial optimisation, machine learning, Artificial Intelligence (cs.AI), continuous optimisation, Algorithms

Prístupová URL adresa: http://arxiv.org/pdf/1811.11597
https://pubmed.ncbi.nlm.nih.gov/30475672
http://arxiv.org/abs/1811.11597
https://direct.mit.edu/evco/article/27/1/3/1083/Automated-Algorithm-Selection-Survey-and
https://arxiv.org/pdf/1811.11597.pdf
https://www.mitpressjournals.org/doi/full/10.1162/evco_a_00242
https://ieeexplore.ieee.org/abstract/document/8660744
https://europepmc.org/article/MED/30475672
https://dl.acm.org/doi/10.1162/evco_a_00242

Improved Sample Complexity Bounds for Branch-and-Cut

Autori: Balcan, Maria-Florina Prasad, Siddharth Sandholm, Tuomas a ďalší

Prispievatelia: Balcan, Maria-Florina Prasad, Siddharth Sandholm, Tuomas a ďalší

Predmety: FOS: Computer and information sciences, sample complexity, data-driven algorithm design, Computer Science - Machine Learning, tree search, Automated algorithm configuration, machine learning theory, Computer Science - Artificial Intelligence, 0211 other engineering and technologies, 02 engineering and technology, cutting planes, Machine Learning (cs.LG), branch-and-cut, Artificial Intelligence (cs.AI), generalization guarantees, Optimization and Control (math.OC), Computer Science - Data Structures and Algorithms, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, branch-and-bound, Data Structures and Algorithms (cs.DS), ddc:004, integer programming, Mathematics - Optimization and Control

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2111.11207
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2022.3

Exact stochastic constraint optimisation with applications in network analysis

Autori: Latour, Anna L.D. Babaki, Behrouz Fokkinga, Daniel a ďalší

Zdroj: ISSN:0004-3702 ; ISSN:1872-7921 ; Artificial Intelligence, vol. 304, Art.No. ARTN 103650.

Predmety: Science & Technology, Technology, Computer Science, Artificial Intelligence, Constraint programming, Probabilistic inference, Stochastic constraints, Ordered binary decision diagrams, Monotonic probability distributions, Global constraints, Automated algorithm configuration, Probabilistic networks, INFERENCE, COMPLEXITY, 0801 Artificial Intelligence and Image Processing, 0802 Computation Theory and Mathematics, 1702 Cognitive Sciences, Artificial Intelligence & Image Processing, 4602 Artificial intelligence, 4603 Computer vision and multimedia computation, 4611 Machine learning

Popis súboru: application/pdf

Relation: https://lirias.kuleuven.be/handle/20.500.12942/761366; https://doi.org/10.1016/j.artint.2021.103650

Dostupnosť: https://lirias.kuleuven.be/handle/20.500.12942/761366
https://hdl.handle.net/20.500.12942/761366
https://lirias.kuleuven.be/retrieve/3452e275-894e-4d72-8f55-bcf7759e19a8
https://doi.org/10.1016/j.artint.2021.103650

Speeding up neural network verification via automated algorithm configuration

Autori: König, H.M.T. Hoos, H.H. Rijn, J.N. van

Predmety: Automated algorithm configuration, AI safety, Neural network verification, SMAC, AutoML

Prístupová URL adresa: https://hdl.handle.net/1887/3277268

Automated Configuration of Negotiation Strategies

Autori: Renting, B.M. (author) Hoos, Holger H. (author) Jonker, C.M. (author) a ďalší

Prispievatelia: Renting, B.M. (author) Hoos, Holger H. (author) Jonker, C.M. (author) a ďalší

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Machine Learning (cs.LG), Negotiation Strategy, Artificial Intelligence (cs.AI), Automated Algorithm Configuration, 0202 electrical engineering, electronic engineering, information engineering, Automated Negotiation, Computer Science - Multiagent Systems, Multiagent Systems (cs.MA)

Prístupová URL adresa: http://arxiv.org/abs/2004.00094
http://ifaamas.org/Proceedings/aamas2020/pdfs/p1116.pdf
http://resolver.tudelft.nl/uuid:b623ebbe-b8c7-4b7b-8ac5-1e8cceec9031

Expressiveness and robustness of landscape features (student workshop paper)

Autori: Renau, Quentin Dréo, Johann Doerr, Carola a ďalší

Prispievatelia: Renau, Quentin Dréo, Johann Doerr, Carola a ďalší

Zdroj: GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion ; Genetic and Evolutionary Computation Conference, Companion Material ; https://hal.sorbonne-universite.fr/hal-02179612 ; Genetic and Evolutionary Computation Conference, Companion Material, Jul 2019, Prague, Czech Republic. pp.2048-2051, ⟨10.1145/3319619.3326913⟩

Predmety: Automated Algorithm Configuration, Black-Box Optimization, Exploratory Landscape Analysis, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]

Geografické téma: Prague, Czech Republic

Dostupnosť: https://hal.sorbonne-universite.fr/hal-02179612
https://hal.sorbonne-universite.fr/hal-02179612v1/document
https://hal.sorbonne-universite.fr/hal-02179612v1/file/bl%20swksp121s2-file1%20%281%29.pdf
https://doi.org/10.1145/3319619.3326913

One solver to rule all feature models — Or not? : Addressing the algorithm selection problem for #SAT

Autori: Dunkel, Raphael Thüm, Thomas

Prispievatelia: Dunkel, Raphael Thüm, Thomas

Predmety: Machine learning, Algorithm Selection, Automated Algorithm Configuration, Maschinelles Lernen, #SAT, Feature Models

Popis súboru: application/pdf

Prístupová URL adresa: http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-52787-2

Automated Algorithm Configuration for Hard Optimization Problems: Ph.D. Thesis

Autori: Yuan, Zhi

Predmety: algorithm design and engineering, post-selection, metaheuristics, mixed variable optimization, swarm intelligence, statistical racing, automated algorithm configuration, stochastic optimization, Sciences de l'ingénieur, optimization, black-box optimization, heuristic optimization, operations research

Popis súboru: 1 full-text file(s): application/pdf

Prístupová URL adresa: http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/294872

Improving the computational efficiency of stochastic programs using automated algorithm configuration: an application to decentralized energy systems

Autori: Lars Kotthoff Valentin Bertsch Holger H. Hoos a ďalší

Zdroj: Annals of Operations Research.

Predmety: OR in energy Large-scale optimization Stochastic programming Uncertainty modeling Automated algorithm configuration Sequential model-based algorithm configuration, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Prístupová URL adresa: https://link.springer.com/article/10.1007/s10479-018-3122-6

Using automated algorithm configuration to improve the optimization of decentralized energy systems modeled as large-scale, two-stage stochastic programs

Autori: Schwarz, Hannes Kotthoff, Lars Hoos, Holger a ďalší

Predmety: ddc:330, OR in energy, large-scale optimization, stochastic programming, uncertainty modeling, automated algorithm configuration, sequential model-based algorithm configuration

Relation: Series: Working Paper Series in Production and Energy; No. 24; http://hdl.handle.net/10419/176750; RePEc:zbw:kitiip:24

Dostupnosť: http://hdl.handle.net/10419/176750
https://doi.org/10.5445/IR/1000072492
https://nbn-resolving.org/urn:nbn:de:swb:90-724925

Optimal decision-making under constraints and uncertainty

Autori: Latour, A.L.D. Hoos, H.H. Kok, J.N. a ďalší

Prispievatelia: Latour, A.L.D. Hoos, H.H. Kok, J.N. a ďalší

Predmety: Probabilistic logic programming, Ordered binary decision diagrams, Mixed-integer linear programming, Automated algorithm configuration, Programming by optimisation, Sentential decision diagrams, Ombinatorial optimisation, Constraint programming, Knowledge compilation, Stochastic constraints

Popis súboru: application/pdf

Prístupová URL adresa: https://hdl.handle.net/1887/3455662

A Modular Multiphase Heuristic Solver for Post Enrolment Course Timetabling

Autori: Chiarandini, Marco Fawcett, Chris Hoos, Holger

Zdroj: Chiarandini, M, Fawcett, C & Hoos, H 2008, A Modular Multiphase Heuristic Solver for Post Enrolment Course Timetabling . in Proceedings of the 7th International Conference on the Practice and Theory of Automated Timetabling . International Conference on the Practice and Theory of Automated Timetabling, Montreal, Canada, 18/08/2008 . < http://www.imada.sdu.dk/~marco/Files/ChiFawHoo08.pdf >

Predmety: stochastic local search, post enrolment course timetabling, stochastic local search, automated algorithm configuration, automated algorithm configuration, post enrolment course timetabling

Prístupová URL adresa: https://portal.findresearcher.sdu.dk/da/publications/cf24db20-6549-11dd-b1a1-000ea68e967b
http://www.imada.sdu.dk/~marco/Files/ChiFawHoo08.pdf

Towards automated configuration of stream clustering algorithms

Autori: Carnein, Matthias Trautmann, Heike Bifet, Albert a ďalší

Prispievatelia: Carnein, Matthias Trautmann, Heike Bifet, Albert a ďalší

Zdroj: ECML PKDD 2019

Predmety: computer science, stream clustering, automated algorithm configuration, algorithm selection, ensemble techniques

Geografické téma: Würzburg, Germany

Popis súboru: application/pdf

Relation: Machine Learning and Knowledge Discovery in Databases: Proc ECML PKDD 2019, Part 1; https://hdl.handle.net/10289/13746

Dostupnosť: https://hdl.handle.net/10289/13746
https://doi.org/10.1007/978-3-030-43823-4_12

Application of machine learning in production scheduling

Autori: Faustmann, Georg Musliu, Nysret TU Wien, Österreich

Prispievatelia: Faustmann, Georg Musliu, Nysret TU Wien, Österreich

Predmety: Machine Learning, Production Scheduling, Product Quality Prediction, Dispatching Rules, Automated Algorithm Configuration

Popis súboru: xiii, 61 Seiten

Relation: https://doi.org/10.34726/hss.2019.68471; http://hdl.handle.net/20.500.12708/6541; AC15530614; urn:nbn:at:at-ubtuw:1-131652

Dostupnosť: https://doi.org/10.34726/hss.2019.68471
https://hdl.handle.net/20.500.12708/6541

Automated Algorithm Configuration for Hard Optimization Problems

Autori: Yuan, Zhi Stützle, Thomas Birattari, Mauro a ďalší

Prispievatelia: Yuan, Zhi Stützle, Thomas Birattari, Mauro a ďalší

Predmety: Sciences de l'ingénieur, automated algorithm configuration, optimization, algorithm design and engineering, operations research, statistical racing, post-selection, stochastic optimization, black-box optimization, mixed variable optimization, heuristic optimization, metaheuristics, swarm intelligence

Popis súboru: 1 v. (270 p.); 3 full-text file(s): application/pdf | application/pdf | application/pdf

Relation: https://dipot.ulb.ac.be/dspace/bitstream/2013/295173/3/thesis.pdf; https://dipot.ulb.ac.be/dspace/bitstream/2013/295173/5/contratZY.pdf; https://dipot.ulb.ac.be/dspace/bitstream/2013/295173/4/TOC.pdf

Dostupnosť: http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/295173
https://dipot.ulb.ac.be/dspace/bitstream/2013/295173/3/thesis.pdf
https://dipot.ulb.ac.be/dspace/bitstream/2013/295173/5/contratZY.pdf
https://dipot.ulb.ac.be/dspace/bitstream/2013/295173/4/TOC.pdf

Continuous Optimization Algorithms for Tuning Real andInteger Algorithm Parameters of Swarm Intelligence Algorithms

Autori: Yuan, Zhi Montes De Oca Roldan, Marco Stützle, Thomas a ďalší

Zdroj: Swarm Intelligence, 6 (1

Predmety: Recherche opérationnelle, Intelligence artificielle, Automated algorithm configuration, Continuous optimization algorithm, F-Race, Parameter tuning, Swarm intelligence

Popis súboru: No full-text files

Relation: uri/info:scp/84855314827

Dostupnosť: http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/138567

Hydra: Automatically Configuring Algorithms for Portfolio-Based Selection

Autori: Xu, Lin Hoos, Holger Leyton-Brown, Kevin

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 24 No. 1 (2010): Twenty-Fourth AAAI Conference on Artificial Intelligence; 210-216 ; 2374-3468 ; 2159-5399

Predmety: automated algorithm design, portfolio-based algorithm selection, automated algorithm configuration, SAT, stochastic local search

Popis súboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/7565/7426; https://ojs.aaai.org/index.php/AAAI/article/view/7565

Dostupnosť: https://ojs.aaai.org/index.php/AAAI/article/view/7565
https://doi.org/10.1609/aaai.v24i1.7565