Construct · 1 fields · 1 citations

structured state space model: a standalone construct

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Machine learning

a sequence model built on a linear state space system with a structured, efficiently computable parameterization, able to capture very long-range dependencies.

In machine learning, structured state space model refers to a sequence model built on a linear state space system with a structured, efficiently computable parameterization, able to capture very long-range dependencies. This meaning comes from Gu (2021) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

capture4 fields · 4 citationsjingle · one word, four constructs learning6 fields · 14 citationsjingle · one name, six constructs model3 fields · 3 citationsjingle · one word, three constructs

References

Gu, A., Goel, K., & Ré, C. (2021). Efficiently Modeling Long Sequences with Structured State Spaces. arXiv. https://doi.org/10.48550/arxiv.2111.00396

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