Preferred Label : Transfer Machine Learning;
MeSH definition : Process of training a new learning network by beginning with previously trained for
a related problem, leading to less time and energy required for training the new learning
network.;
Définition CISMeF : A strategic approach within ML wherein a model developed for a particular task is
adapted for a second task. This approach leverages the knowledge and patterns acquired
from a previously solved problem (source task) to boost the performance and learning
efficiency of a model on a subsequent, often similar, problem (target task). For
example, in healthcare, a model trained to identify tumors in lung X-ray images might
leverage the learned patterns to improve the identification of abnormalities in liver
ultrasound images.; Source: Adapted from Yu, X., Wang, J., Hong, Q., Teku, R., Wang, S., & Zhang, Y. (2022).
Transfer learning for medical images analyses: A survey. Neurocomputing, 489, 230–254.
https://doi.org/10.1016/j.neucom.2021.08.159;
MeSH synonym : Machine Learning, Transfer; Transfer Machine Learnings; Transfer Learning, Machine; Machine Transfer Learning; Machine Transfer Learnings;
CISMeF synonym : transfer learning;
Origin ID : D000098410;
UMLS CUI : C5940533;
Allowable qualifiers
- Record concept(s)
- Semantic type(s)
Process of training a new learning network by beginning with previously trained for
a related problem, leading to less time and energy required for training the new learning
network.
A strategic approach within ML wherein a model developed for a particular task is
adapted for a second task. This approach leverages the knowledge and patterns acquired
from a previously solved problem (source task) to boost the performance and learning
efficiency of a model on a subsequent, often similar, problem (target task). For
example, in healthcare, a model trained to identify tumors in lung X-ray images might
leverage the learned patterns to improve the identification of abnormalities in liver
ultrasound images.
Source: Adapted from Yu, X., Wang, J., Hong, Q., Teku, R., Wang, S., & Zhang, Y. (2022).
Transfer learning for medical images analyses: A survey. Neurocomputing, 489, 230–254.
https://doi.org/10.1016/j.neucom.2021.08.159
