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Automatic basis function construction
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<p>In <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a>, automatic basis function construction, also known as basis discovery, is a technique that finds a set of general-purpose (task-independent) <a href="/facts/Basis_functions/Bt7jqjY2">basis functions</a> to simplify complex data (<a href="/facts/State_space_(computer_science)/H1vjb3LL">state space</a>) into a smaller, manageable form (lower-dimensional embedding) while accurately capturing the <a href="/facts/Value_function/mx1w3z2R">value function</a>. Unlike methods relying on expert-designed functions, this approach works without prior knowledge of the specific problem area (domain), making it effective in situations where creating tailored basis functions is challenging or impractical. </p>