Probabilistic logic

Gaussian Process Regression reconstructs stable carbon isotope composition of dissolved inorganic carbon in the Atlantic Ocean, expanding historical data coverage 7.65-fold.

Study applies Bayesian network modelling to predict employment outcomes and match vocational students with suitable majors, achieving 75% predictive accuracy and reducing skill-job mismatches.

Computational models of cognitive stages show that network-stage architectures outperform linear stages through estimation efficiency and explicit exposure tracking, not just parameter reduction.

Explores how predictive AI in judicial decision-making operates within legal indeterminacy rather than eliminating it, examining theoretical limits and practical constraints of machine learning in.