Výsledky vyhledávání - Learning to learn evolutionary algorithm

Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution

Autoři: Xin Liu Jianyong Sun Qingfu Zhang a další

Zdroj: IEEE Transactions on Emerging Topics in Computational Intelligence. 7:1605-1620

Meta-Learning based efficient framework for diagnosing rare disorders: A comprehensive survey.

Autoři: Singh, Kuljeet Malhotra, Deepti

Zdroj: AIP Conference Proceedings; 2024, Vol. 3072 Issue 1, p1-12, 12p

Témata: MACHINE learning, NATURAL language processing, REINFORCEMENT learning, METAHEURISTIC algorithms, COMPUTER vision, KNOWLEDGE transfer

Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.

Autoři: Akbarein, Hesameddin Taaghi, Mohammad Hussein Mohebbi, Mahyar a další

Zdroj: Veterinary Medicine & Science. May2025, Vol. 11 Issue 3, p1-29. 29p.

Témata: Machine learning, Artificial intelligence, Veterinary medicine, Resource allocation, Medical research

Multi-Behavioral Strategies in a Predator-Prey Game: An Evolutionary Algorithm Analysis

Autoři: Mitchell, William A.

Zdroj: Oikos, 2009 Jul 01. 118(7), 1073-1083.

Přístupová URL adresa: http://dx.doi.org/10.1111/j.1600-0706.2009.17204.x

CarHoods10k: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications.

Autoři: Wollstadt, Patricia Bujny, Mariusz Ramnath, Satchit a další

Zdroj: IEEE Transactions on Evolutionary Computation; Dec2022, Vol. 26 Issue 6, p1221-1235, 15p

Témata: ENGINEERING design, DEEP learning, EVOLUTIONARY algorithms, MACHINE learning, MECHANICAL models, ENGINEERING simulations

Fault trees from data: Efficient learning with an evolutionary algorithm

Autoři: Linard, Alexis Bucur, D. Stoelinga, M.

Zdroj: 5th International Symposium on Dependable Software Engineering: Theories, Tools, and Applications, SETTA 2019. :19-37

Témata: Cyber-physical systems, Evolutionary algorithm, Fault tree induction, Safety-critical systems, Application programs, Cyber Physical System, Embedded systems, Evolutionary algorithms, Iterative methods, Learning algorithms, Population statistics, Reliability, Safety engineering, Complex architectures, Effective algorithms, Efficient learning, Fault tree structures, Fault-trees, Large amounts of data, Safety critical systems, System reliability models, Trees (mathematics)

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-268580

Reinforcement learning based adaptive metaheuristics

Autoři: Tessari, Michele Iacca, Giovanni Fieldsend, Jonathan E.

Přispěvatelé: Tessari, Michele Iacca, Giovanni Fieldsend, Jonathan E.

Témata: adaptation, algorithm configuration, evolutionary algorithm, reinforcement learning

Relation: info:eu-repo/semantics/altIdentifier/isbn/9781450392686; info:eu-repo/semantics/altIdentifier/wos/WOS:001035469400288; ispartofbook:GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion; 2022 Genetic and Evolutionary Computation Conference, GECCO 2022; firstpage:1854; lastpage:1861; numberofpages:8; alleditors:Fieldsend, Jonathan E.; https://hdl.handle.net/11572/351941

Dostupnost: https://hdl.handle.net/11572/351941
https://doi.org/10.1145/3520304.3533983
https://dl.acm.org/doi/10.1145/3520304.3533983

Improved gas source localization with a mobile robot by learning analytical gas dispersal models from statistical gas distribution maps using evolutionary algorithms

Autoři: Lilienthal, Achim J.

Zdroj: Intelligent Systems for Machine Olfaction. :249-276

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-24089
https://oru.diva-portal.org/smash/get/diva2:540974/FULLTEXT01.pdf

Implementation of a Deep Learning System for Detection and Classification of Lumpy Skin Disease in Cattle: Enhancing Precision and Efficiency in Veterinary Diagnostics.

Autoři: Pal, Madhumita Behera, Soudamini Mohapatra, Ranjan K. a další

Zdroj: Veterinary Medicine & Science. Nov2025, Vol. 11 Issue 6, p1-20. 20p.

Témata: Lumpy skin disease, Deep learning, Ensemble learning, Veterinary clinical pathology, Health of cattle, Transformer models, Machine learning

Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy.

Autoři: Garcia-Vozmediano, Aitor Maurella, Cristiana Ceballos, Leonardo A. a další

Zdroj: Veterinary Research. 6/5/2024, Vol. 55 Issue 1, p1-14. 14p.

Témata: Machine learning, Salmonella, Foodborne diseases, Salmonella diseases, Random forest algorithms, Boosting algorithms, Street food

Geografický termín: Italy

Multi-task Deep Reinforcement Learning with Evolutionary Algorithm and Policy Gradient Method in 3D Control Tasks / 進化的計算と方策勾配法による学習を用いた3次元制御タスクにおけるマルチタスク深層強化学習

Autoři: Akihiko OHSUGA Shota IMAI Yasuyuki TAHARA a další

Zdroj: Proceedings of the Annual Conference of JSAI. 2019, :4

ADEL: Autonomous Developmental Evolutionary Learning for Robotic Manipulation

Autoři: Xiaofei Shen Haonan Duan Peng Wang a další

Zdroj: 2021 IEEE International Conference on Development and Learning (ICDL). :1-8

Témata: 4. Education

Neuromorphic Hardware Learns to Learn.

Autoři: Bohnstingl, Thomas Scherr, Franz Pehle, Christian a další

Zdroj: Frontiers in Neuroscience; 5/21/2019, pN.PAG-N.PAG, 14p

Témata: NEUROMORPHICS, ALGORITHMS, MARKOV processes, ARTIFICIAL neural networks, MATERIAL plasticity

Building RL Algorithms that Generalize: From Latent Dynamics Models to Meta-Learning

Autoři: Levine, Sergey Co-Reyes, John Dalton

Témata: Artificial intelligence, Computer science, publication

URL: https://escholarship.org/uc/item/3gg8x7n5
https://escholarship.org/content/qt3gg8x7n5/qt3gg8x7n5.pdf

A Novel Explainable Artificial Intelligence Framework with Improved Learning Mechanisms

Autoři: Kabir, Sami, PhD Student Andersson, Karl, Professor Dr. Hossain, Mohammad Shahadat, Professor Dr. a další

Přispěvatelé: Kabir, Sami, PhD Student Andersson, Karl, Professor Dr. Hossain, Mohammad Shahadat, Professor Dr. a další

Zdroj: Doctoral thesis / Luleå University of Technology 1 jan 1997 → ….

Témata: accuracy, augmentation, domain knowledge, evolutionary learning, explainability, explainable artificial intelligence (XAI), pseudo-labeled data, self-training, self-supervised learning, semi-supervised learning, trust, uncertainties, unlabeled data, Pervasive Mobile Computing, Distribuerade datorsystem

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-115137
https://ltu.diva-portal.org/smash/get/diva2:2007851/FULLTEXT01.pdf

Genetic NEAT-Based Method for Multi-Class Classification

Autoři: Alfaham, Abdallah Van Raemdonck, Stijn Mercelis, Siegfried

Zdroj: urn:isbn:9798331529314
ACAI 2024 - 2024 7th International Conference on Algorithms, Computing and Artificial Intelligence (2024); 2024 7th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI), Guangzhou, China [CN], 20-12-2024 => 22-12-2024

Témata: Automated Architecture, Genetic Algorithms, NEAT, Supervised Learning, Automated architecture, Class labels, Evolutionary mechanisms, Genetic mechanism, Machine learning problem, Multi-class classification, Neuro evolutions, Neuroevolution of augmenting topologies, Performance, Specific class, Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty, Computational Mathematics, Control and Optimization, Modeling and Simulation, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Relation: http://xplorestaging.ieee.org/ielx8/10899099/10899447/10899662.pdf?arnumber=10899662

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/334608

Rapid learning with phase-change memory-based in-memory computing through learning-to-learn.

Autoři: Ortner, Thomas Petschenig, Horst Vasilopoulos, Athanasios a další

Zdroj: Nature Communications; 2/1/2025, Vol. 16 Issue 1, p1-16, 16p

Témata: CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, IMAGE recognition (Computer vision), PHASE change memory, COGNITIVE psychology

Q-MIND: enhancing ADHD diagnosis using quantum machine learning for advanced neuroimaging analysis.

Autoři: Jain B Varshney A Vithal M

Zdroj: Journal of neural transmission (Vienna, Austria : 1996) [J Neural Transm (Vienna)] 2025 Oct 21. Date of Electronic Publication: 2025 Oct 21.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer-Verlag Country of Publication: Austria NLM ID: 9702341 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1435-1463 (Electronic) Linking ISSN: 03009564 NLM ISO Abbreviation: J Neural Transm (Vienna) Subsets: MEDLINE

Adaptive Reinforcement-Based Genetic Algorithm for Combinatorial Optimization.

Autoři: Zojaji, Zahra Kazemi, Arefeh

Zdroj: Journal of Computing & Security; 2022, Vol. 9 Issue 1, p71-84, 14p

Témata: COMBINATORIAL optimization, GENETIC algorithms, EVOLUTIONARY algorithms, REINFORCEMENT learning, ALGORITHMS

Evolutionary Algorithms for Fuzzy Cognitive Maps

Autoři: Tsimenidis, Stefanos

Témata: Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2102.01012