Networks which learn to store variable-length sequences in a fixed set of unit activations
نویسنده
چکیده
A method for storing sequences of varying lengths in a fixed-width vector is described. The method is implemented, in an adaptive form, in a recurrent network which learns to generate sequences. The performance of this network is compared with that of a more conventional recurrent network on the same task.
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تاریخ انتشار 1995