https://proceedings.neurips.cc/paper_files/paper/2024/hash/9062b7d6e522dadf4f7d85d49b60d81e-Abstract-Conference.html
Learnability of high-dimensional targets by two-parameter models and gradient flow
parameter modelsgradient flowhighdimensionaltargets
https://ideas.repec.org/p/tas/wpaper/32412.html
Forecasting natural gas prices using highly flexible time-varying parameter models
Downloadable! The growing disintegration between the natural gas and oil prices, together with shale revolution and market financialization, lead to continued...
natural gas pricesparameter modelsforecastingusinghighly
https://ieeetv.ieee.org/technology/microapps-memory-effect-enhancements-for-x-parameter-models-in-ads-agilent-technologies
MicroApps: Memory Effect Enhancements for X-Parameter Models in ADS (Agilent Technologies) | IEEETV
MicroApps: Memory Effect Enhancements for X-Parameter Models in ADS Radek Biernacki, Chad Gillease, Jan Verspecht, Agilent EEsof
parameter modelsagilent technologiesmemoryeffectenhancements
https://repub.eur.nl/pub/1854
RePub, Erasmus University Repository: Time Varying Parameter Models for Inflation and Exchange Rates
parameter modelsexchange rateserasmusuniversityrepository
https://pure.psu.edu/en/publications/random-parameter-models-of-interstate-crash-frequencies-by-severi/
Random parameter models of interstate crash frequencies by severity, number of vehicles involved,...
parameter modelsvehicles involvedrandominterstatecrash
https://research.wu.ac.at/en/activities/time-varying-parameter-models-achieving-shrinkage-and-variablebrs-10/
Time-Varying Parameter Models -Achieving Shrinkage and Variable /Selection - WU Vienna University...
parameter modelstimeachievingshrinkagevariable
https://iris.luiss.it/handle/11385/5458
Varying Parameter Models to Accommodate Dynamic Promotion Effects
parameter modelsaccommodatedynamicpromotioneffects
https://www.ema-eda.com/ema-resources/videos/extracting-s-parameter-models-with-sigrity-power-si/
Extracting S-Parameter Models with Sigrity Power SI | EMA Design Automation
Apr 15, 2024 - See how Sigrity PowerSI makes model extraction simple for even your most complex interfaces creating accurate, fast, and effective S-Parameter Models.
parameter modelsdesign automationpowerema
https://ricerca.sns.it/handle/11384/85742
On time-varying parameter models and their applications to high-frequency financial data
on timeparameter modelshigh frequencyfinancial dataapplications
https://archives.albany.edu/description/catalog/ua435aspace_60b56c37ec15bf54a558e1ce2da0823b
Wakeland, Wayne with Jack Homer "Addressing parameter uncertainty in SD models with fit-to-history...
with jackwaynehomeraddressingparameter
https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2019.00027/full
Frontiers | Simultaneous Parameter Learning and Bi-clustering for Multi-Response Models
We consider multi-response and multi-task regression models, where the parameter matrix to be estimated is expected to have an unknown grouping structure. Th...
frontierssimultaneousparameterlearningbi
https://research.abo.fi/sv/publications/parameter-estimation-in-kinetic-models-of-complex-heterogeneous-c/
Parameter estimation in kinetic models of complex heterogeneous catalytic reactions using Bayesian...
parameterestimationkineticmodelscomplex
https://essay.utwente.nl/essays/100946
Parameter Calibration of Stochastic Degradation Models of Sewer and Water Pipe Networks using...
Modelling the deterioration of sewer and water pipes is vital for drawing up efficient maintenance strategies such that preventive maintenance can be executed...
sewer and waterparametercalibrationstochasticdegradation
https://saemobilus.sae.org/articles/parameter-estimation-physical-based-air-path-models-turbocharged-diesel-engines-experience-based-guidance-2009-24-0134
2009-24-0134: Parameter Estimation for Physical Based Air Path Models of Turbocharged Diesel...
parameterestimationphysicalbasedair
https://elmi.hbku.edu.qa/en/publications/genetic-expression-programming-based-empirical-models-for-the-pre/
Genetic Expression Programming Based Empirical Models for the Prediction of Rutting Parameter of...
for thegeneticexpressionprogrammingbased
https://hgpu.org/?p=30722
MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU |...
Apr 12, 2026 - MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU | Zhengqing Yuan, Hanchi Sun, Lichao Sun, Yanfang Ye | Computer...
large language modelsprecision trainingfullparametersingle