Interactive machine learning–letting users build classifiers

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Title

Interactive machine learning–letting users build classifiers

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

According to standard procedure, building a classifier is a fully automated process that follows data preparation by a domain expert. In contrast, interactive machine learning engages users in actually generating the classifier themselves. This offers a natural way of integrating background knowledge into the modeling stage–so long as interactive tools can be designed that support efficient and effective communication. This paper shows that appropriate techniques can empower users to create m...

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Format

Research paper

Research format

Working or discussion paper

Date created

2000-03

Creator

Ware, Malcolm / Frank, Eibe / Holmes, Geoffrey / Hall, Mark A. / Witten, Ian H.

URL

https://hdl.handle.net/10289/1020

Related subjects

computer science / Machine learning

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