VisGBT: Visually analyzing evolving datasets for adaptive learning

Chen, Keke and Tian, Fengguang (2009) VisGBT: Visually analyzing evolving datasets for adaptive learning. In: 5th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing.

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Abstract

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

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 08:46
Last Modified: 18 Apr 2026 08:26
URI: http://eprints.eai.eu/id/eprint/1111

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