Hybrid ITC-OLS algorithm integrates model-order selection into greedy DoA estimation and outperforms other variants and a literature baseline in simulations.
Estimating the dimension of a model
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MDL and BIC most reliably select low test-error models and recover ground-truth expressions in symbolic regression benchmarks.
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Orthogonal Least Squares with Integrated Information Theoretic Criteria for Joint Number of Targets and DoA Estimation
Hybrid ITC-OLS algorithm integrates model-order selection into greedy DoA estimation and outperforms other variants and a literature baseline in simulations.
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A Comparative Study of Model Selection Criteria for Symbolic Regression
MDL and BIC most reliably select low test-error models and recover ground-truth expressions in symbolic regression benchmarks.