= Automatic basis function construction
{wiki=Automatic_basis_function_construction}
Automatic basis function construction is a concept primarily used in the field of machine learning and statistical modeling, particularly when dealing with complex data sets or tasks involving function approximation. It refers to techniques that automatically generate an appropriate set of basis functions for a given problem, allowing models to capture underlying patterns and structures without extensive manual feature engineering. \#\#\# Key Concepts 1. **Basis Functions**: These are functions used to represent other functions.
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