VisGBT: Visually analyzing evolving datasets for adaptive learning
Keke Chen, Fengguang Tian · 2009
Many machine learning problems involve changes in both feature distribution and label distribution, such as domain adaptation and learning drifting concepts from data streams. Correctly detecting, identifying, and understanding the changes of data distributions can help us properly select data sampl