# Quantization

March 29, 2016 — November 2, 2023

Quantisation of system state-space, considered in the abstract. Implicit in coding theory, compression, and mixture models.

Connection to classification.

A placeholder.

## 1 References

Gerber, Pospisil, Navandar, et al. 2020. “Low-Cost Scalable Discretization, Prediction, and Feature Selection for Complex Systems.”

*Science Advances*.
Horenko, Vecchi, Kardoš, et al. 2023. “On Cheap Entropy-Sparsified Regression Learning.”

*Proceedings of the National Academy of Sciences*.
Peluffo-Ordónez, Lee, and Verleysen. 2014. “Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding.” In

*Advances in Self-Organizing Maps and Learning Vector Quantization*.
Smola, Williamson, Mika, et al. 1999. “Regularized Principal Manifolds.” In

*Computational Learning Theory*. Lecture Notes in Computer Science 1572.
Vecchi, Pospíšil, Albrecht, et al. 2022. “eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems.”

*Neural Computation*.