Sparse distributed memory: Difference between revisions

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* [[Low-density parity-check code]]
* [[Locality-sensitive hashing]]
* [[Memory networks]]<ref>Weston, Jason, Sumit Chopra, and Antoine Bordes. "Memory networks." arXiv preprint {{arXiv:|1410.3916}} (2014).</ref>
* [[Memory-prediction framework]]
* Pointer Networks<ref>Vinyals, Oriol, Meire Fortunato, and Navdeep Jaitly. "Pointer networks." arXiv preprint {{arXiv|1506.03134}} (2015).</ref><ref>Kurach, Karol, Andrychowicz, Marcin and Sutskever, Ilya. "[https://arxiv.org/abs/1511.06392 Neural Random-Access Machines]." arXiv preprint arXiv:1511.06392 (2015).</ref>
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* [[Neural coding|Sparse coding]]<ref>Lee, Honglak, et al. "[http://papers.nips.cc/paper/2979-efficient-sparse-coding-algorithms.pdf Efficient sparse coding algorithms]." Advances in neural information processing systems. 2006.</ref>
* [[Hierarchical temporal memory#Sparse distributed representations|Sparse distributed representations]]
* [[Neural Turing machine]]<ref>Graves, Alex, Greg Wayne, and Ivo Danihelka. "Neural Turing Machines." arXiv preprint {{arXiv:|1410.5401}} (2014).</ref>
* Stacked [[autoencoder]]s<ref>{{cite journal | last1 = Vincent | first1 = Pascal |display-authors=etal | year = 2010 | title = Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion | url = http://www.jmlr.org/papers/volume11/vincent10a/vincent10a.pdf| journal = The Journal of Machine Learning Research | volume = 11 | pages = 3371–3408 }}</ref>
* [[Vector symbolic architecture]]<ref>{{cite journal | last1 = Rachkovskij | first1 = Dmitri A. | last2 = Kussul | first2 = Ernst M. | year = 2001 | title = Binding and normalization of binary sparse distributed representations by context-dependent thinning | url = http://cogprints.org/1240/1/cdt-1sp.pdf| journal = Neural Computation | volume = 13 | issue = 2| pages = 411–452 | doi=10.1162/089976601300014592| s2cid = 585366 }}</ref>