Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction

We present the Mind the Gap Model (MGM), an approach for interpretable feature extraction and selection. By placing interpretability criteria directly into the model, we allow for the model to both optimize parameters related to interpretability and to directly report a global set of distinguishable...

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Bibliographic Details
Main Authors: Doshi-Valez, Finale (Author), Kim, Been (Contributor), Shah, Julie A (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: Neural Information Processing Systems Foundation Inc., 2017-05-26T15:24:08Z.
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