QUESTO: Interactive Construction of Objective Functions for Classification Tasks

Building effective classifiers requires providing the modeling algorithms with information about the training data and modeling goals in order to create a model that makes proper tradeoffs. Machine learning algorithms allow for flexible specification of such meta‐information through the design of th...

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Bibliographic Details

Published in:	Computer graphics forum Vol. 39; no. 3; pp. 153 - 165
Main Authors:	Das, Subhajit, Xu, Shenyu, Gleicher, Michael, Chang, Remco, Endert, Alex
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.06.2020
Subjects:	Algorithms CCS Concepts Classification Computing methodologies → Model construction and selection Human‐centered computing → Visual analytics Machine learning Machine learning task → Classification Mathematics of computing → Interactive objective functions Specifications User satisfaction
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
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