Concepedia

Concept

interactive machine learning

Parents

1.3K

Publications

91.4K

Citations

4.4K

Authors

949

Institutions

About

Interactive machine learning is a research field and methodological approach investigating systems where a human user actively participates in or guides the machine learning process. This typically involves iterative interaction, such as providing feedback, labeling data, or steering exploration, to enhance model performance, efficiency, interpretability, or alignment with specific human objectives, especially in complex or data-limited domains.

Top Authors

Rankings shown are based on concept H-Index.

SA

Microsoft (United States)

EH

Microsoft (United States)

QV

Microsoft (Canada)

JS

Microsoft (United States)

EB

New York University

Top Institutions

Rankings shown are based on concept H-Index.

Pittsburgh, United States

University of Washington

Seattle, United States

Microsoft (United States)

Redmond, United States

Stanford University

Stanford, United States