Results 151 to 160 of about 168,521,757 (307)
Transfer of learning: Analysis of dose-response functions from a large-scale, online, cognitive training dataset. [PDF]
PLoS One, 2023 Osman AM +4 more
europepmc +1 more source
Optimization of the Production of Rubber Compounds Using Mathematical Models
Advanced Engineering Materials, EarlyView.Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source
Description of boiling project burnout detector
, 1957 Introduction: In order to effectively utilize the high heat flux available through the mechanism of nucleate boiling in forced convection heat transfer, it is of primary importance that the maximum flux or "burnout" conditions be known for the liquid ...
Reynolds John Mitchell, Raymond, M. W.
core
Domain Adaptation Based on Semi-Supervised Cross-Domain Mean Discriminative Analysis and Kernel Transfer Extreme Learning Machine. [PDF]
Sensors (Basel), 2023 Li X, Ma J.
europepmc +1 more source
Learning Transferable Representations
, 2019 A first contribution of this thesis is to propose causality as a language for problems of distribution shift. First, we consider domain generalisation, where no data from the test distribution are observed during training. What assumptions can be made regarding the relation between train and test distributions for transfer to succeed?
openaire +3 more sources
Advanced Engineering Materials, EarlyView.A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
, 2006 This descriptive study, adapted from Holton and Bates' Learning Transfer System Inventory (LTSI), examined factors that facilitated and/or hindered transfer of learning for participants of a four-day grant writing workshop.
Lundin, Deborah L.
core
Learning Bound for Parameter Transfer Learning
CoRR, 2016 We consider a transfer-learning problem by using the parameter transfer approach, where a suitable parameter of feature mapping is learned through one task and applied to another objective task. Then, we introduce the notion of the local stability and parameter transfer learnability of parametric feature mapping,and thereby derive a learning bound for ...
openaire +3 more sources
Advanced Engineering Materials, EarlyView.Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
TSTELM: Two-Stage Transfer Extreme Learning Machine for Unsupervised Domain Adaptation. [PDF]
Comput Intell Neurosci, 2022 Zang S, Li X, Ma J, Yan Y, Gao J, Wei Y.
europepmc +1 more source