5 Matching Annotations
- Oct 2024
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arxiv.org arxiv.org
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Reweighting heuristics are known to improve these methods, as is dimen-sion reduction
Without reweighting and dimensionality reduction PMI doesn't scale to higher dimensions. (I.e. for large vocabulary).
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- Oct 2023
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link.springer.com link.springer.com
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Chapter 21 "Adversarial Autonencoders" from our book "Elements of Dimensionality Reduction and Manifold Learning", Springer 2023.
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assets.pubpub.org assets.pubpub.org
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Discussion of the paper:
Ghojogh B, Ghodsi A, Karray F, Crowley M. Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. Proceedings of the Canadian Conference on Artificial Intelligence [Internet]. 2022 May 27; Available from: https://caiac.pubpub.org/pub/7eqtuyyc
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- Jul 2019
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www.willmcginnis.com www.willmcginnis.com
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we want to code categorical variables into numbers, but we are concerned about this dimensionality problem
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- Jun 2016
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aclweb.org aclweb.org
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dimension of embedding vectors strongly dependson applications and uses, and is basically determinedbased on the performance and memory space (orcalculation speed) trade-of
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