QUESTO: Interactive Construction of Objective Functions for Classification Tasks

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dc.contributor.authorDas, Subhajiten_US
dc.contributor.authorXu, Shenyuen_US
dc.contributor.authorGleicher, Michaelen_US
dc.contributor.authorChang, Remcoen_US
dc.contributor.authorEndert, Alexen_US
dc.contributor.editorViola, Ivan and Gleicher, Michael and Landesberger von Antburg, Tatianaen_US
dc.date.accessioned2020-05-24T13:00:17Z
dc.date.available2020-05-24T13:00:17Z
dc.date.issued2020
dc.description.abstractBuilding 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 the objective functions that they solve. However, such objective functions are hard for users to specify as they are a specific mathematical formulation of their intents. In this paper, we present an approach that allows users to generate objective functions for classification problems through an interactive visual interface. Our approach adopts a semantic interaction design in that user interactions over data elements in the visualization are translated into objective function terms. The generated objective functions are solved by a machine learning solver that provides candidate models, which can be inspected by the user, and used to suggest refinements to the specifications. We demonstrate a visual analytics system QUESTO for users to manipulate objective functions to define domain-specific constraints. Through a user study we show that QUESTO helps users create various objective functions that satisfy their goals.en_US
dc.description.number3
dc.description.sectionheadersMachine Learning
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.13970
dc.identifier.issn1467-8659
dc.identifier.pages153-165
dc.identifier.urihttps://doi.org/10.1111/cgf.13970
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13970
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.subjectComputing methodologies
dc.subjectModel construction and selection
dc.subjectMathematics of computing
dc.subjectInteractive objective functions
dc.subjectHuman centered computing
dc.subjectVisual analytics
dc.subjectMachine learning task
dc.subjectClassification
dc.titleQUESTO: Interactive Construction of Objective Functions for Classification Tasksen_US
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