Kazunaga Horiuchi

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A new e-mail agent architecture with a Bayesian network (BN) has been investigated in order to detect important e-mail (IM) of office users. The BN has nodes related with users' resultant behaviors during the e-mail operation, which enables to adapt the agent for users' intentions by implicit feedbacks, called semi-supervised learning. We have investigated(More)
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