Suchergebnisse - Group theory and generalization Explicit machine computation and programs msc

Reduced-Order Models and Conditional Expectation: Analysing Parametric Low-Order Approximations.

Autoren: Matthies, Hermann G.

Quelle: Computation; Feb2025, Vol. 13 Issue 2, p58, 29p

Schlagwörter: MACHINE learning, REDUCED-order models, DISTRIBUTION (Probability theory), CONDITIONAL expectations

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

Autoren: GROCHOW, JOSHUA QIAO, YOUMING

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

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

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

Autoren: Flores-García, Erik Hoon Kwak, Dong Jeong, Yongkuk et al.

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

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

Exploring machine learning models for predicting greenhouse gas emissions in Africa's building sector: A case study of six nations.

Autoren: Adam, Abdullahi Mohamud Osman, Abdikarim Nor Yusuf, Abdinasir Mohamed et al.

Quelle: Environmental Systems Research; 10/6/2025, Vol. 14 Issue 1, p1-23, 23p

Schlagwörter: GREENHOUSE gases, ENERGY consumption, COUNTRIES, MACHINE learning, URBANIZATION, FORECASTING, SUSTAINABLE development, HOUSING development

Geografische Kategorien: AFRICA, NIGERIA, MOROCCO

Reviews & Products: SUSTAINABLE Development Goals (United Nations)

Nonconvex Nonsmooth Multicomposite Optimization and Its Applications to Recurrent Neural Networks.

Autoren: Jin, Lingzi Wang, Xiao Chen, Xiaojun

Quelle: SIAM Journal on Optimization; 2025, Vol. 35 Issue 4, p2343-2371, 29p

Schlagwörter: MACHINE learning, RECURRENT neural networks, CRITICAL point theory, GLOBAL optimization, TIKHONOV regularization, NONSMOOTH optimization

ON A GENERALIZATION OF WASSERSTEIN DISTANCE AND THE BECKMANN PROBLEM TO CONNECTION GRAPHS.

Autoren: ROBERTSON, SAWYER JACK KOHLI, DHRUV MISHNE, GAL et al.

Quelle: SIAM Journal on Scientific Computing; 2025, Vol. 47 Issue 5, pA2774-A2800, 27p

Schlagwörter: VECTOR fields, TRANSPORTATION costs, GRAPH connectivity, CLUSTER analysis (Statistics)

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

Autoren: Latifi, Mohammed Qasim Poulus, Dylan Richards, Michaella et al.

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

Schlagwörter: 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

Geografische Kategorien: AUSTRALIA

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

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

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

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

The quantum monadology.

Autoren: Sati, Hisham Schreiber, Urs

Quelle: Quantum Studies: Mathematics & Foundations; Oct2025, Vol. 12 Issue 3, p1-148, 148p

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

Autoren: Murari, Andrea Rossi, Riccardo Spolladore, Luca et al.

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

Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization.

Autoren: Cantürk, Furkan Varol, Taha Aydoğan, Reyhan et al.

Quelle: Journal of Artificial Intelligence Research; 2024, Vol. 80, p327-376, 50p

Schlagwörter: HEURISTIC algorithms, ARTIFICIAL neural networks, GRAPH theory, COMBINATORIAL optimization, MACHINE learning

Algebraic and Homological Aspects of Hermitian -Theory.

Autoren: Popelensky, Th. Yu.

Quelle: Proceedings of the Steklov Institute of Mathematics; 10/22/2024, Vol. 325 Issue 1, p230-261, 32p

Dynamic climate graph network and adaptive climate action strategy for climate risk assessment and low-carbon policy responses.

Autoren: Zhou, Fang Shi, Yan Zhao, Pengfei et al.

Quelle: Frontiers in Environmental Science; 2025, p1-19, 19p

Schlagwörter: CLIMATE change, RISK assessment, MACHINE learning, STRATEGIC planning, DATA integration, CLIMATE change mitigation, CARBON dioxide mitigation

LQG RISK-SENSITIVE SINGLE-AGENT AND MAJOR-MINOR MEAN-FIELD GAME SYSTEMS: A VARIATIONAL FRAMEWORK.

Autoren: HANCHAO LIU FIROOZI, DENA BRETON, MICHÈLE

Quelle: SIAM Journal on Control & Optimization; 2025, Vol. 63 Issue 4, p2251-2281, 31p

Schlagwörter: OPTIMAL control theory, NASH equilibrium, MARTINGALES (Mathematics), VARIATIONAL principles, FEEDBACK control systems, RISK perception

People: NASH, John F., 1928-2015

Exploring AI models and applications within a system framework.

Autoren: Sun, Yu Li, Ling Yu, Zhaoyuan et al.

Quelle: Systems Research & Behavioral Science; Jul/Aug2025, Vol. 42 Issue 4, p1163-1180, 18p

Schlagwörter: ARTIFICIAL intelligence, CLINICAL decision support systems, KNOWLEDGE management, WORK environment, DATA analytics, NATURAL language processing, BLOCKCHAINS, ARTIFICIAL neural networks, MACHINE learning, CLOUD computing, MEDICAL ethics, ALGORITHMS

Efficient Diffusion Posterior Sampling for Noisy Inverse Problems.

Autoren: Li, Ji Wang, Chao

Quelle: SIAM Journal on Imaging Sciences; 2025, Vol. 18 Issue 2, p1468-1492, 25p

Schlagwörter: INVERSE problems, IMAGE processing, STOCHASTIC models, MAXIMUM likelihood statistics, PROBABILITY theory, MATHEMATICAL optimization, MONTE Carlo method, SIGNAL denoising

Research Advancements in High-Temperature Constitutive Models of Metallic Materials.

Autoren: Ding, Fengjuan Hong, Tengjiao Dong, Fulong et al.

Quelle: Crystals (2073-4352); Aug2025, Vol. 15 Issue 8, p699, 28p

Schlagwörter: HIGH temperatures, METALS, MECHANICAL models, PREDICTION models, DEFORMATIONS (Mechanics), RHEOLOGY, EMPIRICAL research, FINITE element method

Continuous Combinatorics of Abelian Group Actions.

Autoren: Gao, Su Jackson, Steve Krohne, Edward et al.

Quelle: Memoirs of the American Mathematical Society; Jul2025, Vol. 311 Issue 1573, p1-132, 132p

SEMI-ANALYTICAL ESTIMATION FOR THE ESCAPE OF SOLUTIONS OF LINEAR DIFFERENTIAL EQUATIONS WITH SLOWLY VARYING COEFFICIENTS.

Autoren: PONCE-VANEGAS, FELIPE BARTFAI, ANDRAS DOMBOVARI, ZOLTAN

Quelle: SIAM Journal on Applied Mathematics; 2025, Vol. 85 Issue 4, p1519-1549, 31p

Schlagwörter: LINEAR differential equations, ANALYTICAL solutions, BIFURCATION theory, MATHEMATICAL models, ENGINEERING design, STABILITY theory, OSCILLATIONS, DIFFERENTIAL equations

Inferring Admixture in Genomes.

Autoren: Rannala, Bruce

Quelle: Annual Review of Ecology, Evolution & Systematics; 2025, Vol. 56 Issue 1, p193-215, 17p