Výsledky vyhľadávania - Computing methodologies→Machine learning algorithms~

Necessary but not Sufficient: Limitations of Projection Quality Metrics.

Autori: Machado, A. Behrisch, M. Telea, A.

Zdroj: Computer Graphics Forum. Jun2025, Vol. 44 Issue 3, p1-12. 12p.

Predmety: *DESCRIPTIVE statistics, *MULTIVARIATE analysis, *DATA analysis, *QUANTITATIVE research, DIMENSIONAL reduction algorithms, DATA visualization

Learning MAX-SAT Models from Examples using Genetic Algorithms and Knowledge Compilation

Autori: Berden, Senne Kumar, Mohit Kolb, Samuel a ďalší

Prispievatelia: Berden, Senne Kumar, Mohit Kolb, Samuel a ďalší

Predmety: constraint learning, Computing methodologies → Machine learning, Machine learning, ddc:004, 46 Information and computing sciences, MAX-SAT

Popis súboru: application/pdf

Prístupová URL adresa: https://lirias.kuleuven.be/handle/20.500.12942/695199
https://doi.org/10.4230/lipics.cp.2022.8
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2022.8

Optimized Diabetes Prediction Using Soft Computing: CURE-ADASYN for Imbalance and Advanced Deep Learning Classification Methods.

Autori: Abinaya, V. Chitra, K.

Zdroj: International Journal of Environmental Sciences (2229-7359); 2025 Special Issue, Vol. 11, p170-178, 9p

Predmety: DIABETES, DEEP learning, GREY Wolf Optimizer algorithm, PARTICLE swarm optimization, LONG short-term memory, FORECASTING, SOFT computing

LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding

Autori: Bhowmick, Ayan Meneni, Koushik Danisch, Maximilien a ďalší

Prispievatelia: Bhowmick, Ayan Meneni, Koushik Danisch, Maximilien a ďalší

Zdroj: Proceedings of the 13th International Conference on Web Search and Data Mining. :43-51

Predmety: [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI], 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, [INFO] Computer Science [cs], CCS CONCEPTS • Computing methodologies → Machine learning algorithms, scalability, • Mathematics of computing → Graph algorithms KEYWORDS Network embedding, real-world graph algorithms

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.archives-ouvertes.fr/hal-02999888/file/WSDM2020.pdf
http://dblp.uni-trier.de/db/conf/wsdm/wsdm2020.html#BhowmickMDGM20
https://hal.archives-ouvertes.fr/hal-02999888/document
https://hal.archives-ouvertes.fr/hal-02999888
https://dl.acm.org/doi/pdf/10.1145/3336191.3371800
https://hal.science/hal-02999888v1
https://doi.org/10.1145/3336191.3371800
https://hal.science/hal-02999888v1/document

Voxels for Finite Element Analysis of Cultural Heritage objects

Autori: Sara Gonizzi Barsanti Erika Elefante Ernesto Nappi a ďalší

Prispievatelia: Sara Gonizzi Barsanti Erika Elefante Ernesto Nappi a ďalší

Predmety: Computing methodologies → Machine Learning → Machine Learning algorithm, • Computing methodologies → Machine Learning → Learning paradigm, • General and reference → Cross-computing tools and techniques Computing methodologies → Machine Learning → Measurement, • Applied computing → Physical sciences and engineering

Relation: info:eu-repo/semantics/altIdentifier/isbn/978-3-03868-277-6; ispartofbook:DIGITAL HERITAGE (2025); DIGITAL HERITAGE (2025); firstpage:1; lastpage:10; numberofpages:10; journal:EUROGRAPHICS TECHNICAL REPORT SERIES; alleditors:S. Campana, D. Ferdani, H. Graf, G. Guidi, Z. Hegarty, S. Pescarin, F. Remondino; https://hdl.handle.net/11591/571504

Dostupnosť: https://hdl.handle.net/11591/571504
https://doi.org/10.2312/dh.20253178
https://diglib.eg.org/collections/f079dddd-9388-4e85-864a-e42d3937de2f

Quantum AI for psychiatric diagnosis: enhancing dementia classification with quantum machine learning.

Autori: Amin, Javaria Ali, Muhammad Umair Islam, Muhammad Zubair a ďalší

Zdroj: Frontiers in Psychiatry; 2025, p1-11, 11p

Predmety: DEMENTIA, QUANTUM computing, MAGNETIC resonance imaging, DEEP learning, PSYCHIATRIC diagnosis, KNOWLEDGE transfer, MACHINE learning

A Survey of Quantum Machine Learning: Foundations, Algorithms, Frameworks, Data and Applications.

Autori: Rodríguez-Díaz, Francesc Gutiérrez-Avilés, David Troncoso, Alicia a ďalší

Zdroj: ACM Computing Surveys; Apr2026, Vol. 58 Issue 4, p1-35, 35p

Predmety: ALGORITHMS, QUANTUM computing, MATHEMATICAL functions

Learning Metric Fields for Fast Low‐Distortion Mesh Parameterizations.

Autori: Fargion, G. Weber, O.

Zdroj: Computer Graphics Forum. May2025, Vol. 44 Issue 2, p1-14. 14p.

Predmety: *ARTIFICIAL neural networks, HARMONIC maps, TENSOR fields, LAPLACIAN matrices, METRIC spaces, INJECTIVE functions

Comprehensive Literature Review on Bio Inspired Optimization-based Path Selection for Message Forwarding in Delay Tolerant Network.

Autori: Prasad, Ajay Gurung, Sandeep Sharma, Kalpana

Zdroj: Grenze International Journal of Engineering & Technology (GIJET); Jan2025, Vol. 11 Issue Part2, p4549-4564, 16p

Predmety: ANT algorithms, PARTICLE swarm optimization, DELAY-tolerant networks, MATHEMATICAL optimization, DISASTER resilience, BIOLOGICALLY inspired computing

The 1st International Workshop on Human-in-the-Loop Applied Machine Learning (HITLAML)

Autori: YILMA, Bereket Abera Surafel M. Lakew Yogesh Virkar a ďalší

Zdroj: Human-in-the-Loop Applied Machine Learning (HITLAML) (2023-09-04)

Predmety: CCS Concepts: • Computing methodologies → Machine learning algorithms, Machine learning approaches, Learning paradigms, Artificial intelligence, • Human-centered computing → HCI design and evaluation methods, Interactive systems and tools Interactive Machine Learning, Human-centered Artificial Intelligence, Adaptation, Personalization, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Relation: https://hitlaml.uni.lu; https://orbilu.uni.lu/handle/10993/59348; info:hdl:10993/59348; https://orbilu.uni.lu/bitstream/10993/59348/1/HITLAML23.pdf

Dostupnosť: https://orbilu.uni.lu/handle/10993/59348
https://orbilu.uni.lu/bitstream/10993/59348/1/HITLAML23.pdf

Rank-based Linear-Quadratic Surrogate Assisted CMA-ES

Autori: Gharafi, Mohamed Hansen, Nikolaus Le Riche, Rodolphe a ďalší

Prispievatelia: Gharafi, Mohamed Hansen, Nikolaus Le Riche, Rodolphe a ďalší

Zdroj: GECCO 2025 - The Genetic and Evolutionary Computation Conference ; https://hal.science/hal-05035436 ; GECCO 2025 - The Genetic and Evolutionary Computation Conference, Jul 2025, Malaga, Spain. ; https://gecco-2025.sigevo.org/

Predmety: Surrogate-assisted optimization, Surrogate models, CMA-ES, Invariance, CCS Concepts :• Computing methodologies → Machine learning approaches, Cross-validation, • Mathematics of computing → Stochastic control and optimization, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]

Geografické téma: Malaga, Spain

Dostupnosť: https://hal.science/hal-05035436
https://hal.science/hal-05035436v1/document
https://hal.science/hal-05035436v1/file/gecco-final-poster.pdf

Flow-Time Minimization for Timely Data Stream Processing in UAV-Aided Mobile Edge Computing.

Autori: Xu, Zichuan Qiao, Haiyang Liang, Weifa a ďalší

Zdroj: ACM Transactions on Sensor Networks; May2024, Vol. 20 Issue 3, p1-28, 28p

Predmety: MOBILE computing, EDGE computing, ONLINE algorithms, ELECTRONIC data processing, 5G networks, POWER resources

Imbalanced Classification with TPG Genetic Programming: Impact of Problem Imbalance and Selection Mechanisms

Autori: Sourbier, Nicolas Bonnot, Justine Majorczyk, Frédéric a ďalší

Prispievatelia: Sourbier, Nicolas Bonnot, Justine Majorczyk, Frédéric a ďalší

Zdroj: GECCO 2022 - Genetic and Evolutionary Computation Conference ; https://hal.science/hal-03699228 ; GECCO 2022 - Genetic and Evolutionary Computation Conference, Jul 2022, Boston, United States. pp.1-4, ⟨10.1145/3520304.3529008⟩

Predmety: CCS CONCEPTS • Computing methodologies → Machine learning, Artificial intelligence, Genetic programming, Genetic algorithms classification, machine learning, imbalanced data, tangled program graphs, selection, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

Geografické téma: Boston, United States

Time: Boston, United States

Relation: hal-03699228; https://hal.science/hal-03699228; https://hal.science/hal-03699228/document; https://hal.science/hal-03699228/file/imbalanced_classification_gecco.pdf

Dostupnosť: https://hal.science/hal-03699228
https://hal.science/hal-03699228/document
https://hal.science/hal-03699228/file/imbalanced_classification_gecco.pdf
https://doi.org/10.1145/3520304.3529008

Machine learning-enhanced hybrid cryptography and image steganography algorithm for securing cloud data.

Autori: Venkata Krishna, G.P.C. Vivekananda Reddy, D.

Zdroj: Journal of Intelligent & Fuzzy Systems; 2024, Vol. 46 Issue 2, p4657-4667, 11p

Predmety: CLOUD storage, CLOUD computing, CRYPTOGRAPHY, CLOUD computing security measures, DATA security, DATA security failures, DENIAL of service attacks

Aging and rejuvenating strategies for fading windows in multi-label classification on data streams

Autori: Roseberry, Martha Dzeroski, Saso Bifet, Albert a ďalší

Prispievatelia: Roseberry, Martha Dzeroski, Saso Bifet, Albert a ďalší

Zdroj: SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing ; Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, SAC 2023, Tallinn, Estonia, March 27-31, 2023 ; https://hal.science/hal-04468384 ; Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, SAC 2023, Tallinn, Estonia, March 27-31, 2023, Mar 2023, Talinn, Estonia. pp.390--397, ⟨10.1145/3555776.3577625⟩

Predmety: Computing methodologies → Machine learning algorithms, Machine Learning, Data Streams, Multi-label Learning, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Geografické téma: Talinn, Estonia

Time: Talinn, Estonia

Dostupnosť: https://hal.science/hal-04468384
https://doi.org/10.1145/3555776.3577625

Learning with Differentiable Algorithms

Autori: Petersen, Felix

Predmety: machine learning, optimization, differentiable, continuous relaxation, computer science, algorithms, neural networks, Computing methodologies~Machine learning, ddc:004

Popis súboru: application/pdf

Relation: 181565192X

Dostupnosť: http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1qlgm6rvkz9m08

Prediction of compressive strength of BFRC using soft computing techniques.

Autori: Almohammed, Fadi Thakur, Mohindra S.

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jan2024, Vol. 28 Issue 2, p1391-1408, 18p

Predmety: SOFT computing, FIBER-reinforced concrete, FLY ash, RANDOM forest algorithms

Synaptic AI: Bridging Neural Dynamics and Deep Learning for Next-Generation Computation.

Autori: Kumbhar, Gaurang Shelke, Srushti Totawad, Priti

Zdroj: International Scientific Journal of Engineering & Management; Apr2025, Vol. 4 Issue 4, p1-9, 9p

Predmety: ARTIFICIAL neural networks, ARTIFICIAL intelligence, MACHINE learning, DEEP learning, SMART devices

Mathematics-Inspired Models: A Green and Interpretable Learning Paradigm for Multimedia Computing.

Autori: Gao, Lei Liu, Kai Guo, Zheng a ďalší

Zdroj: ACM Transactions on Multimedia Computing, Communications & Applications; Jul2025, Vol. 21 Issue 7, p1-22, 22p

Predmety: ARTIFICIAL neural networks, MACHINE learning, MULTIMEDIA systems, ARTIFICIAL intelligence, SUSPICION

Computing Graph Neural Networks: A Survey from Algorithms to Accelerators.

Autori: ABADAL, SERGI JAIN, AKSHAY GUIRADO, ROBERT a ďalší

Zdroj: ACM Computing Surveys; Dec2022, Vol. 54 Issue 9, p1-38, 38p

Predmety: ALGORITHMS, TELECOMMUNICATION systems