AnchorViz: Facilitating Semantic Data Exploration and Concept Discovery for Interactive Machine Learning

ACM Transactions on Interactive Intelligent Systems (TiiS), pp. 1-38, 2020.

Cited by: 3|Bibtex|Views61|DOI:https://doi.org/10.1145/3241379
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Other Links: dl.acm.org|academic.microsoft.com|dblp.uni-trier.de

Abstract:

When building a classifier in interactive machine learning (iML), human knowledge about the target class can be a powerful reference to make the classifier robust to unseen items. The main challenge lies in finding unlabeled items that can either help discover or refine concepts for which the current classifier has no corresponding featur...More

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