machinelearned
Machinelearned is a neologism used to describe artifacts, decisions, or systems that are produced or guided by machine learning rather than explicit programming. As a compound built from 'machine learning' and 'learned,' it signals that the output has emerged from data-driven training.
In technology practice, machinelearned models include classifiers, regressors, neural networks, and feature extractors. They are trained
Compared with hand-crafted rules, machinelearned artifacts rely on statistical generalization rather than specifying every possible case.
The term is informal and not standardized in the AI literature. More common typographic forms include machine-learned
See also machine learning, artificial intelligence, model interpretability, data bias, and algorithmic fairness.