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Kook et al., 2022 - Google Patents

Deep and interpretable regression models for ordinal outcomes

Kook et al., 2022

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Document ID
16526816461602372481
Author
Kook L
Herzog L
Hothorn T
Dürr O
Sick B
Publication year
Publication venue
Pattern Recognition

External Links

Snippet

Outcomes with a natural order commonly occur in prediction problems and often the available input data are a mixture of complex data like images and tabular predictors. Deep Learning (DL) models are state-of-the-art for image classification tasks but frequently treat …
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    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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