Tag: encoding
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Is Your Model Time-Blind? The Case for Cyclical Feature Encoding
Is Your Model Time-Blind? The Case for Cyclical Feature Encoding How cyclical encoding improves machine learning prediction The post Is Your Model Time-Blind? The Case for Cyclical Feature Encoding appeared first on Towards Data Science. Gustavo Santos Go to original source
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Distributional encoding for Gaussian process regression with qualitative inputs
Distributional encoding for Gaussian process regression with qualitative inputs arXiv:2506.04813v1 Announce Type: new Abstract: Gaussian Process (GP) regression is a popular and sample-efficient approach for many engineering applications, where observations are expensive to acquire, and is also a central ingredient of Bayesian optimization (BO), a highly prevailing method for the optimization of black-box functions. However,…
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Explicit and data-Efficient Encoding via Gradient Flow
Explicit and data-Efficient Encoding via Gradient Flow arXiv:2412.00864v1 Announce Type: new Abstract: The autoencoder model typically uses an encoder to map data to a lower dimensional latent space and a decoder to reconstruct it. However, relying on an encoder for inversion can lead to suboptimal representations, particularly limiting in physical sciences where precision is key.…