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2007
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A data-dependent distance measure for transductive instance-based learning

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A data-dependent distance measure for transductive instance-based learning
— We consider learning in a transductive setting using instance-based learning (k-NN) and present a method for constructing a data-dependent distance “metric” using both labeled training data as well as available unlabeled data (that is to be classified by the model). This new data-driven measure of distance is empirically studied in the context of various instance-based models and is shown to reduce error (compared to traditional models) under certain learning conditions. Generalizations and improvements are suggested.
Jared Lundell, Dan Ventura
Added 04 Jun 2010
Updated 04 Jun 2010
Type Conference
Year 2007
Where SMC
Authors Jared Lundell, Dan Ventura
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