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Hybridization of Interval CP and Evolutionary Algorithms for Optimizing Difficult Problems
The only rigorous approaches for achieving a numerical proof of optimality in global optimization are interval-based methods that interleave branching of the search-space and pruning of the subdomains that cannot contain an optimal solution.
Predictive Interval Models for Non-parametric Regression
This work presents a new method to find two-sided predictive intervals for non-parametric least squares regression without the homoscedasticity assumption.
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