Adaptive sampling technique for selecting negative examples for artificial intelligence applications
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United States of America Patent
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Jun 12, 2007
Grant Date -
Oct 31, 2002
app pub date -
Mar 28, 2001
filing date -
Mar 28, 2001
priority date (Note) -
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status (Latency Note)
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Abstract
Artificial intelligence applications require use of training sets containing positive and negative examples. Negative examples are chosen using distributions of positive examples with respect to a dominant feature in feature space. Negative examples should share or approximately share, with the positive examples, values of a dominant feature in feature space. This type of training set is illustrated with respect to content recommenders, especially recommenders for television shows.
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