Výsledky vyhledávání - Machine learning. Computational learning theory. Combinatorial optimization.

Reinforcement learning in large state action spaces

Autoři: Mahajan, Anuj Whiteson, Shimon

Přispěvatelé: Mahajan, Anuj Whiteson, Shimon

Témata: Computational learning theory, Mathematical optimization, Reinforcement learning, Machine learning, Multiagent systems, Artificial intelligence

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.886905

A Review: Machine Learning for Combinatorial Optimization Problems in Energy Areas

Autoři: Xinyi Yang Ziyi Wang Hengxi Zhang a další

Zdroj: Algorithms, Vol 15, Iss 6, p 205 (2022)

Témata: combinatorial optimization problem, machine learning, supervised learning, reinforcement learning, game theory, refinery scheduling, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1999-4893/15/6/205; https://doaj.org/toc/1999-4893

Přístupová URL adresa: https://doaj.org/article/34fdfe96c2b7469a8c96ad568f9480fb

Accelerating Analytics Using Improved Binary Particle Swarm Optimization for Discrete Feature Selection.

Autoři: Moorthy, Rajalakshmi Shenbaga Pabitha, P

Zdroj: Computer Journal; Oct2022, Vol. 65 Issue 10, p2547-2569, 23p

Témata: FEATURE selection, ANT algorithms, PARTICLE swarm optimization, METAHEURISTIC algorithms, COMBINATORIAL optimization, MACHINE learning

Korporace: UNIVERSITY of California, Irvine

A novel Harmony Search algorithm embedded with metaheuristic Opposition Based Learning.

Autoři: Sarkhel, Ritesh Chowdhury, Tithi Mitra Das, Mayuk a další

Zdroj: Journal of Intelligent & Fuzzy Systems; 2017, Vol. 32 Issue 4, p3189-3199, 11p

Témata: EVOLUTIONARY algorithms, METAHEURISTIC algorithms, COMBINATORIAL optimization, MACHINE learning, MACHINE theory

Machine Learning and Density Functional Theory for Accelerating Materials Discovery and Understanding in Metal-Organic Frameworks

Autoři: Taw, Eric

Témata: Chemical engineering

Přístupová URL adresa: https://escholarship.org/uc/item/49p6p8w9

Reusability report: A distributed strategy for solving combinatorial optimization problems with hypergraph neural networks.

Autoři: Li, Xiaodi Gui, Jianfeng Xue, Wei a další

Zdroj: Nature Machine Intelligence; Nov2025, Vol. 7 Issue 11, p1870-1878, 9p

Intractability results for problems in computational learning and approximation

Autoři: Saket, Rishi.

Zdroj: Available online, Georgia Institute of Technology.

Témata: Machine learning. Computational learning theory. Combinatorial optimization.

Dostupnost: http://hdl.handle.net/1853/29681

Intractability results for problems in computational learning and approximation

Autoři: Saket, Rishi

Témata: Integrality gaps, Approximation, Hardness, Learning, Combinatorial optimization, Computational learning theory, Machine learning

Dostupnost: http://hdl.handle.net/1853/29681

Intractability Results for some Computational Problems

Autoři: Ponnuswami, Ashok Kumar

Témata: Hardness of approximation, Max-Clique, Agnostic learning, Parities, Halfspaces, Thresholds, Circuit lower bounds, Combinatorial optimization, Computational learning theory, Machine learning

Dostupnost: http://hdl.handle.net/1853/24638

Applications of submodular minimization in machine learning

Autoři: Narasimhan, Mukund

Zdroj: Connect to this title online; UW restricted.

Témata: Machine learning Computational learning theory. Submodular functions. Combinatorial optimization.

Dostupnost: http://hdl.handle.net/1773/5983

PSO-Guided Construction of MRD Codes for Rank Metrics

Autoři: Behnam Dehghani Amineh Sakhaie

Zdroj: Mathematics, Vol 13, Iss 17, p 2756 (2025)

Témata: maximum rank-distance codes, Particle Swarm Optimization, rank metrics, error-correcting codes, combinatorial optimization, Mathematics, QA1-939

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2227-7390/13/17/2756; https://doaj.org/toc/2227-7390

Přístupová URL adresa: https://doaj.org/article/ea6c8bc63922479287cf9d83dae3b127

Modeling and Optimization of Multiaction Dynamic Dispatching Problem for Shared Autonomous Electric Vehicles.

Autoři: Wang, Ning Guo, Jiahui

Zdroj: Journal of Advanced Transportation; 11/15/2021, p1-19, 19p

Témata: URBAN transportation, AUTONOMOUS vehicles, COMBINATORIAL optimization, MATHEMATICAL optimization, ALGORITHMS, AUTOMOBILE parking, ELECTRIC vehicles

Neural Graph Matching Network: Learning Lawler’s Quadratic Assignment Problem With Extension to Hypergraph and Multiple-Graph Matching.

Autoři: Wang, Runzhong Yan, Junchi Yang, Xiaokang

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Sep2022, Vol. 44 Issue 9, p5261-5279, 19p

Témata: QUADRATIC assignment problem, COMBINATORIAL optimization, CHARTS, diagrams, etc., PEER-to-peer architecture (Computer networks)

Combinatorial optimization with physics-inspired graph neural networks.

Autoři: Schuetz, Martin J. A. Brubaker, J. Kyle Katzgraber, Helmut G.

Zdroj: Nature Machine Intelligence; Apr2022, Vol. 4 Issue 4, p367-377, 11p

Dividing the Indivisible: Algorithms, Empirical Advances, and Complexity Results for Value-Maximizing Combinatorial Assignment Problems

Autoři: Präntare, Fredrik Heintz, Fredrik, Professor Doherty, Patrick, Professor a další

Přispěvatelé: Präntare, Fredrik Heintz, Fredrik, Professor Doherty, Patrick, Professor a další

Zdroj: Linköping Studies in Science and Technology. Dissertations.

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-202652
https://doi.org/10.3384/9789180756013

Structure of an Ultrathin Oxide on Pt3Sn(111) Solved by Machine Learning Enhanced Global Optimization**

Autoři: Merte, Lindsay R. Bisbo, Malthe Kjær Sokolović, Igor a další

Přispěvatelé: Merte, Lindsay R. Bisbo, Malthe Kjær Sokolović, Igor a další

Zdroj: Angewandte Chemie - International Edition. 61(25)

Témata: Natural Sciences, Chemical Sciences, Theoretical Chemistry (including Computational Chemistry), Naturvetenskap, Kemi, Teoretisk kemi (Här ingår: Beräkningskemi)

Přístupová URL adresa: https://doi.org/10.1002/anie.202204244

A combined machine learning and density functional theory study of binary Ti-Nb and Ti-Zr alloys: Stability and Young's modulus

Autoři: Xiong, Sangqi Li, Xin Wu, Xiangwei a další

Zdroj: Computational materials science. 184

Témata: Combinatorial materials science, Density functional theory, High-throughput and data mining, Energetic stability and Young 's modulus

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-423033

Holistic Utility Satisfaction in Cloud Data Centre Network Using Reinforcement Learning.

Autoři: Goudarzi, Pejman Hosseinpour, Mehdi Goudarzi, Roham a další

Zdroj: Future Internet. Dec2022, Vol. 14 Issue 12, p368. 21p.

Témata: *Artificial intelligence, *Cloud computing, Reinforcement learning, Satisfaction, Utility functions, Server farms (Computer network management)

A hybrid algorithm combining glowworm swarm optimization and complete 2-opt algorithm for spherical travelling salesman problems.

Autoři: Chen, Xin Zhou, Yongquan Tang, Zhonghua a další

Zdroj: Applied Soft Computing. Sep2017, Vol. 58, p104-114. 11p.

Témata: Combinatorial optimization, Particle swarm optimization, Stochastic convergence, Approximation theory, Machine learning

Multi-omics and AI-driven advances in miRNA-mediated hair follicle regulation in cashmere goats.

Autoři: Chunhua, Zhang Le, Fu Shengli, Li a další

Zdroj: Frontiers in Veterinary Science. 2025, p1-24. 24p.