A literature survey of VIS4ML papers develops a coding scheme to identify pathways for human knowledge transfer into ML workflows via interactive visualization and explains them using conceptual models of VA as model building and cost-benefit optimization.
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Understanding How Humans Inject Knowledge into Machine Learning Workflows through Visual Analytics
A literature survey of VIS4ML papers develops a coding scheme to identify pathways for human knowledge transfer into ML workflows via interactive visualization and explains them using conceptual models of VA as model building and cost-benefit optimization.