Results 11 to 20 of about 7,007,541 (299)

Forecasting Development of Green Hydrogen Production Technologies Using Component-Based Learning Curves

open access: yesEnergies, 2023
Hydrogen energy is expected to become one of the most efficient ways to decarbonize global energy and transportation systems. Green hydrogen production costs are currently high but are likely to decline due to the economy of scale and learning-by-doing ...
Svetlana Revinova   +3 more
doaj   +3 more sources

The Shape of Learning Curves: A Review

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Learning curves provide insight into the dependence of a learner's generalization performance on the training set size. This important tool can be used for model selection, to predict the effect of more training data, and to reduce the computational complexity of model training and hyperparameter tuning.
Marco Loog, Tom Viering
exaly   +5 more sources

Learning Learning Curves [PDF]

open access: yesPattern Analysis and Applications
Contains fulltext : 314824.pdf (Publisher’s version ) (Open Access)
Marco Loog
exaly   +4 more sources

Learning Curves Associated With Robotic Total Hip Arthroplasty: A Scoping Review [PDF]

open access: yesOrthopaedic Surgery
Introduction Robotic total hip arthroplasty (rTHA) is gaining widespread adoption, yet the learning curve (LC) associated with its implementation remains uncertain.
Abith Ganesh Kamath   +3 more
doaj   +2 more sources

Learning curves for point-of-care ultrasound image acquisition for novice learners in a longitudinal curriculum

open access: yesThe Ultrasound Journal, 2023
Background A learning curve is graphical representation of the relationship between effort, such as repetitive practice or time spent, and the resultant learning based on specific outcomes.
Mike Breunig   +2 more
doaj   +2 more sources

Mapping the learning curves of deep learning networks. [PDF]

open access: yesPLoS Computational Biology
There is an important challenge in systematically interpreting the internal representations of deep neural networks (DNNs). Existing techniques are often less effective for non-tabular tasks, or they primarily focus on qualitative, ad-hoc interpretations
Yanru Jiang, Rick Dale
doaj   +2 more sources

Investigation and Comparative Analysis of Learning Curve Models on Construction Productivity: The Case of Caisson Fabrication Process [PDF]

open access: yesJournal of Engineering, Project, and Production Management, 2020
Learning curves in construction operations analysis is deemed as one of the main factors that determine the variation of on-site productivity and is always taken into account during the planning and estimation stage. This research attempts the assessment
Panagiota Ralli   +3 more
doaj   +1 more source

Progressive surface modeling scheme from unorganised curves [PDF]

open access: yes, 2006
This paper presents a novel surface modelling scheme to construct a freeform surface progressively from unorganised curves representing the boundary and interior characteristic curves.
Wright, David   +3 more
core   +10 more sources

An Attempt at Describing Learning Curves for a Complex Sub-Task in Reading Acquisition

open access: yesALSIC: Apprentissage des Langues et Systèmes d'Information et de Communication, 2022
Learning curves are a well-known phenomenon in learning and describe the oscillation between correct and incorrect performance that precedes mastery. It demonstrates that making mistakes is part of the learning process.
Hannah Kermes, Kay Berkling
doaj   +1 more source

Machine learning invariants of arithmetic curves [PDF]

open access: yes, 2023
We show that standard machine learning algorithms may be trained to predict certain invariants of low genus arithmetic curves. Using datasets of size around 105, we demonstrate the utility of machine learning in classification problems pertaining to the ...
Oliver, T., He, Y.-H., Lee, K.-H.
core   +1 more source

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