Accelerated HE digitalisation: Exploring staff and student experiences of the COVID-19 rapid online-learning transfer. [PDF]
Educ Inf Technol (Dordr), 2022 Nicklin LL +7 more
europepmc +1 more source
The effects of learning goals on implicit and explicit learning [PDF]
, 1997 This thesis, using Berry & Broadbent's (1984) computer-person interaction task, shows that three different learning goals result in three different learning modes.
Geddes, Bruce Wynter, Geddes, B.W.
core
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Embeddings from deep learning transfer GO annotations beyond homology. [PDF]
Sci Rep, 2021 Littmann M +4 more
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
Transfer Learning: Analysis of a Matlab code
openIl transfer learning è una tecnica fondamentale del machine learning, la quale permette il riutilizzo di un modello pre-addestrato per riadattarlo e personalizzarlo a nuovi scopi.
CIMAROSTI, LORENZO
core
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
Feature discrimination learning transfers to noisy displays in complex stimuli
Frontiers in CognitionIntroductionPerception under noisy conditions requires not only feature identification but also a process whereby target features are selected and noise is filtered out (e.g., when identifying an animal hiding in the savannah).
Orly Azulai +4 more
doaj +1 more source
An approach to the permeation mechanism of learning transfer and teaching strategy in physical education based on complex network. [PDF]
PLoS One, 2021 Feng X +5 more
europepmc +1 more source
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