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Train on bags of
2000 words for 400,000 training cases
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of business
documents.
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First
train a stack of RBM’s. Then fine-tune with
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backprop.
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Test on a
separate 400,000 documents.
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Pick
one test document as a query. Rank order all the
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other
test documents by using the cosine of the angle
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between
codes.
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Repeat
this using each of the 400,000 test documents
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as
the query (requires 0.16
trillion comparisons).
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Plot the number
of retrieved documents against the
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proportion that
are in the same hand-labeled class as the
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query document.
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