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0111 · Apr 201919922001200920172026
1 result for instance-MIR

Proposes a new method for MIR using kernel mean embeddings.

problem Multiple instance regression (MIR) where bags contain multiple instances with a single label.
method Computes kernel mean embeddings of predicted label distributions and learns a regressor from these embeddings.
result Better results than baseline instance-MIR across all datasets, state-of-the-art on two.