Data-driven polynomial chaos expansion for machine learning regression — mentioned by jll29

Wed, 08 Feb 2023 22:59:53 GMT

The parent asked regarding overfitting, because fitting a polynomial to a finite set of given data points can be viewed as an instance of a machine learning problem (inducing a regressor or classifier). What is called "control point"in the OP would be called the "training data". Now whether polynomials are a good idea for any given problem is a matter of the nature of the data, but overfitting in this context means that the polynomial induced via the parameters A, B, C and D can generalize to further (unseen) data points or not. In the gaming context this is not a relevant question because…

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Data-driven polynomial chaos expansion for machine learning regression · HackerPapers discussions

Data-driven polynomial chaos expansion for machine learning regression — mentioned by jll29