Preferred Label : Machine Adaptation Models;
Définition CISMeF : Adaptive models are machine learning models that adapt and improve their performance
as they are exposed to more data.; The ability of a model to adapt its performance by incorporating new data or experiences
over time while retaining prior knowledge/information. The model changes are implemented
such that for a given set of inputs, the output may be different before and after
the changes are implemented. These changes are typically implemented and validated
through a well-defined process that aims at improving performance based on analysis
of new data. In contrast to a locked model, a continual machine learning model has
a defined learning process to change its behavior. Source: Adapted from International
Organization for Standardization. (2022). Information technology — Artificial intelligence
— Artificial intelligence concepts and terminology (ISO/IEC 22989:2022). https://www.iso.org/standard/74296.htm;
CISMeF synonym : Lifelong Learning; Continual Machine Learning;
Origin ID : M000766809;
Currated CISMeF NLP mapping
- Related record
Adaptive models are machine learning models that adapt and improve their performance
as they are exposed to more data.
The ability of a model to adapt its performance by incorporating new data or experiences
over time while retaining prior knowledge/information. The model changes are implemented
such that for a given set of inputs, the output may be different before and after
the changes are implemented. These changes are typically implemented and validated
through a well-defined process that aims at improving performance based on analysis
of new data. In contrast to a locked model, a continual machine learning model has
a defined learning process to change its behavior. Source: Adapted from International
Organization for Standardization. (2022). Information technology — Artificial intelligence
— Artificial intelligence concepts and terminology (ISO/IEC 22989:2022). https://www.iso.org/standard/74296.htm
