Categorical CART splits for single-target least-squares regression can be cast as compact QUBO problems whose size depends only on the number of categories, yielding trees comparable to standard CART.
Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems
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QUBO-Based Calibration for Regression Trees
Categorical CART splits for single-target least-squares regression can be cast as compact QUBO problems whose size depends only on the number of categories, yielding trees comparable to standard CART.