Chapter 4
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- Svenstrup, Dan & Meinertz Hansen, Jonas & Winther, Ole. (2017), Hash Embeddings for Efficient Word Representations
- Explanation kernel trick, https://www.quora.com/How-does-Kernel-compute-inner-product-in-higher-dimensional-space-without-visiting-that-space/answer/Jeremy-McMinis
- https://medium.com/value-stream-design/introducing-one-of-the-best-hacks-in-machine-learning-the-hashing-trick-bf6a9c8af18f
- Extremely Fast Text Feature Extraction for Classification and Indexing by George Forman and Evan Kirshenbaum
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- Vector quantization, https://www.slideshare.net/rajanisharmaa/vector-quantization
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- Herve Jegou, Matthijs Douze, and Cordelia Schmid, Product quantization for nearest neighbor search, IEEE Trans. PAMI, January 2011.
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- Expectation Maximisation, Joydeep Bhattacharjee. https://medium.com/technology-nineleaps/expectation-maximization-4bb203841757
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- Kai Zeng, Kun She, and Xinzheng Niu, Feature Selection with Neighborhood Entropy-Based Cooperative Game Theory, Computational Intelligence and Neuroscience, vol. 2014, Article ID 479289, 10 pages, 2014, https://doi.org/10.1155/2014/479289.
