Batch Classiications with Discrete Finite Mixtures

نویسندگان

  • Tomi Silander
  • Henry Tirri
چکیده

In this paper we study batch classiication problems where multiple predictions are made simultaneously, in contrast to the standard independent classiication case, where the predictions are made independently one at a time. The main contribution of this paper is to demonstrate how the standard EM algorithm for nite mixture models can be modiied for the batch classiication case. In the empirical part of the paper, the results obtained by the batch classiication approach are compared to those obtained by independent predictions.

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Batch Classification with Discrete Finite Mixtures

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تاریخ انتشار 1998