Item Infomation

Title: Human-in-the-loop machine learning a state of the art
Authors: Eduardo, Mosqueira-Rey
Elena, Hernández-Pereira
David, Alonso-Ríos
Issue Date: 2023
Publisher: Springer
Abstract: Researchers are defining new types of interactions between humans and machine learning algorithms generically called human-in-the-loop machine learning. Depending on who is in control of the learning process, we can identify: active learning, in which the system remains in control; interactive machine learning, in which there is a closer interaction between users and learning systems; and machine teaching, where human domain experts have control over the learning process. Aside from control, humans can also be involved in the learning process in other ways. In curriculum learning human domain experts try to impose some structure on the examples presented to improve the learning; in explainable AI the focus is on the ability of the model to explain to humans why a given solution was chosen.
Description: CC BY
Appears in CollectionsOER - Công nghệ thông tin




Files in This Item:
  • Human-in-the-loop machine learning a state of the art-2023.pdf
      Restricted Access
    • Size : 2,99 MB

    • Format : Adobe PDF