1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchBrenda Pottshttps://www.microsoft.com/en-us/research/people/v-brpo/Contextual Memory Trees - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="fzgIsGkXRN"><a href="https://www.microsoft.com/en-us/research/publication/contextual-memory-trees-2/">Contextual Memory Trees</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/contextual-memory-trees-2/embed/#?secret=fzgIsGkXRN" width="600" height="338" title="“Contextual Memory Trees” — Microsoft Research" data-secret="fzgIsGkXRN" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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We design and study a Contextual Memory Tree (CMT), a learning memory controller that inserts new memories into an experience store of unbounded size. It is designed to efficiently query for memories from that store, supporting logarithmic time insertion and retrieval operations. Hence CMT can be integrated into existing statistical learning algorithms as an augmented […]