Heatmap from Scientific Research

Open access visualization of Heatmap, Discriminative Model, Generalization, Non-informative Features, Novel Context
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A purely discriminative model can fail to generalize when previously non-informative features become informative in a novel context. During learning in the initial contexts, packaging was non-discriminative (left). Thus, the distance is zero between otherwise-identical alternatives learned in separate contexts (middle). This leads to generalization failure when these alternatives are brought together in a novel context (right).

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