Výsledky vyhledávání - group theory AND generalizations explicit machine computation AND progress msc*

ON THE COMPLEXITY OF ISOMORPHISM PROBLEMS FOR TENSORS, GROUPS, AND POLYNOMIALS I: TENSOR ISOMORPHISM-COMPLETENESS.

Autoři: GROCHOW, JOSHUA QIAO, YOUMING

Zdroj: SIAM Journal on Computing; 2023, Vol. 52 Issue 2, p568-617, 50p

Témata: POLYNOMIALS, POLYNOMIAL time algorithms, CRYPTOGRAPHY, MACHINE learning, ISOMORPHISM (Mathematics), COMPUTATIONAL group theory

Demystifying Artificial Intelligence : Symbolic, Data-Driven, Statistical and Ethical AI

Autoři: Emmanuel Gillain

Resource Type: eBook.

Témata: Artificial intelligence

Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / General, COMPUTERS / Information Technology, COMPUTERS / Human-Computer Interaction (HCI)

Group Theory and Computation

Autoři: N.S. Narasimha Sastry Manoj Kumar Yadav

Resource Type: eBook.

Témata: Group theory--Congresses

Categories: MATHEMATICS / Algebra / Abstract, MATHEMATICS / Numerical Analysis

AI Robotics : Ethics, Algorithms, and Technology of Artificial Intelligence-Powered Robots

Autoři: Vinod Kumar Khanna

Resource Type: eBook.

Témata: Robots, Artificial intelligence

Categories: SCIENCE / Applied Sciences, COMPUTERS / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Machine Theory, SCIENCE / Experiments & Projects, SCIENCE / Scientific Instruments

Symmetry Sensitivities of Derivative-of-Gaussian Filters.

Autoři: Griffin, Lewis D. Lillholm, Martin

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Jun2010, Vol. 32 Issue 6, p1072-1083, 12p

Témata: GAUSSIAN processes, IMAGE processing, COMPUTER vision, PATTERN recognition systems, GROUP theory

Machine learning in smart production logistics: a review of technological capabilities.

Autoři: Flores-García, Erik Hoon Kwak, Dong Jeong, Yongkuk a další

Zdroj: International Journal of Production Research; Mar2025, Vol. 63 Issue 5, p1898-1932, 35p

Témata: MACHINE learning, COMPUTERS, MANUFACTURING industries, LOGISTICS, SUSTAINABILITY

Advanced Computer Simulation Based on Cardiac Imaging in Planning of Structural Heart Disease Interventions.

Autoři: Agarwal, Alaukika Ranard, Lauren Vahl, Torsten a další

Zdroj: Journal of Clinical Medicine; Oct2025, Vol. 14 Issue 19, p6885, 21p

Témata: COMPUTER simulation, CARDIAC imaging, COMPUTATIONAL fluid dynamics, FINITE element method, CONGENITAL heart disease, HEART valve prosthesis implantation, MACHINE learning

Towards Task Sampler Learning for Meta-Learning.

Autoři: Wang, Jingyao Qiang, Wenwen Su, Xingzhe a další

Zdroj: International Journal of Computer Vision; Dec2024, Vol. 132 Issue 12, p5534-5564, 31p

Témata: MACHINE learning, DISTRIBUTION (Probability theory), BILEVEL programming, ENTROPY, GENERALIZATION

Counting in Visual Question Answering: Methods, Datasets, and Future Work.

Autoři: Welde, Tesfayee Meshu Liao, Lejian

Zdroj: International Journal of Image & Graphics; Sep2025, Vol. 25 Issue 5, p1-32, 32p

Predicting proteus effect via the user avatar bond: a longitudinal study using machine learning.

Autoři: Latifi, Mohammed Qasim Poulus, Dylan Richards, Michaella a další

Zdroj: Behaviour & Information Technology; May2025, Vol. 44 Issue 8, p1595-1611, 17p

Témata: BEHAVIORAL assessment, INTERNET addiction, PREDICTION models, COMPULSIVE behavior, PROBABILITY theory, LOGISTIC regression analysis, QUESTIONNAIRES, AGE distribution, DESCRIPTIVE statistics, CHI-squared test, AVATARS (Virtual reality), IMITATIVE behavior, MACHINE learning, CONFIDENCE intervals, VIDEO games, TIME, EVALUATION

Geografický termín: AUSTRALIA

A Discussion Regarding The Function Of Computers In Online Criminal Investigation For Companies During Disasters And Cyber Crises: An Exhaustive Research.

Autoři: Peng Jiny Midhunchakkaravarthy, Divya

Zdroj: Frontiers in Health Informatics; 2024, Vol. 13 Issue 8, p5334-5342, 9p

Témata: DIGITAL forensics, CRIMINAL investigation, DATA recovery, CORPORATE governance, CYBERTERRORISM

Benchmarking machine learning methods for the identification of mislabeled data.

Autoři: Nazaretyan, Lusine Leser, Ulf Kircher, Martin

Zdroj: Artificial Intelligence Review; Oct2025, Vol. 58 Issue 10, p1-31, 31p

Learning-based light field imaging: an overview.

Autoři: Mahmoudpour, Saeed Pagliari, Carla Schelkens, Peter

Zdroj: EURASIP Journal on Image & Video Processing; 5/30/2024, Vol. 2024 Issue 1, p1-36, 36p

Témata: VISUAL fields, MACHINE learning, IMAGE processing, COMPUTATIONAL complexity, IMAGE reconstruction

Catalysis meets machine learning: a guide to data-driven discovery and design.

Autoři: Casillo, Eleonora Scattolin, Thomas Nolan, Steven P.

Zdroj: Chemical Communications; 12/4/2025, Vol. 61 Issue 93, p18247-18272, 26p

Témata: MACHINE learning, CATALYSIS, PROCESS optimization, MATHEMATICAL models, DESIGN research, ORGANOMETALLIC chemistry, LIGANDS (Chemistry), CATALYSTS

The Liver Meeting: San Diego, California, Nov 15-19, 2024.

Zdroj: Hepatology (02709139); 2024 Supplement, Vol. 80, pS1-S2011, 2011p

Machine Learning - Advanced Techniques and Emerging Applications

Autoři: Hamed Farhadi

Resource Type: eBook.

Témata: Internet of things, Machine learning, Big data

Categories: COMPUTERS / Artificial Intelligence / General

A review of video-based human activity recognition: theory, methods and applications.

Autoři: Bukht, Tanvir Fatima Naik Rahman, Hameedur Shaheen, Momina a další

Zdroj: Multimedia Tools & Applications; May2025, Vol. 84 Issue 17, p18499-18545, 47p

Témata: HUMAN activity recognition, ARTIFICIAL intelligence, VIDEO surveillance, IMAGE processing, CRITICAL analysis

59. Jahrestagung der Deutschen Gesellschaft für Neuroradiologie e. V.

Zdroj: Clinical Neuroradiology; 2024 Suppl 1, Vol. 34, p1-110, 110p

Témata: DORSAL root ganglia, IMAGE reconstruction, MAGNETIC resonance, RADIATION exposure, QUALITY assurance

Models and explanatory variables in modelling failure for drinking water pipes to support asset management: a mixed literature review.

Autoři: Forero-Ortiz, Edwar Martinez-Gomariz, Eduardo Sanchez-Juny, Marti a další

Zdroj: Applied Water Science; Nov2023, Vol. 13 Issue 11, p1-41, 41p

Témata: ASSET management, DRINKING water, WATER distribution, WATER utilities, PIPE

Informed machine learning to reconcile interpretability with fidelity in scientific applications.

Autoři: Murari, Andrea Rossi, Riccardo Spolladore, Luca a další

Zdroj: Artificial Intelligence Review; Oct2025, Vol. 58 Issue 10, p1-38, 38p