Improvements to the sequence memoizer
The sequence memoizer is a model for sequence data with state-of-the-art performance on language modeling and compression. We propose a number of improvements to the model and inference algorithm, including an enlarged range of hyperparameters, a memory-efficient representation, and inference algori...
| Päätekijät: | , |
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| Aineistotyyppi: | Journal article |
| Kieli: | English |
| Julkaistu: |
2010
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