Parameterized complexity
Branch of computational complexity theory
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In computer science, parameterized complexity is a branch of computational complexity theory that focuses on classifying computational problems according to their inherent difficulty with respect to multiple parameters of the input or output. The complexity of a problem is then measured as a function of those parameters. This allows the classification of NP-hard problems on a finer scale than in the classical setting, where the complexity of a problem is only measured as a function of the number of bits in the input.
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🇺🇸 The Complexity of Bayesian Network Learning: Revisiting the Superstructure
arXiv:2602.10253v1 Announce Type: cross Abstract: We investigate the parameterized complexity of Bayesian Network Structure Learning (BNSL), a classi...
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