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Showing 1 to 2 of 2 for “"random restarts"”.

  1. Robust learning of probabilistic hybrid models

    … iteratively increasing improvement over a Random Restarts method with respect to learning sets of model parameters with higher likelihood values, and reducing Euclidean distance to the true set of model parameters. Lastly, the AHML-LPHA algorithm is an active hybrid model learning approach …

    mit Repository record for Robust learning of probabilistic hybrid models (opens in a new tab)

  2. Stochastically Constrained Simulation Optimization On Mixed-Integer Spaces

    … integer spaces. cgR-SPLINE sequentially solves random restarts of a gradient-based local search routine with increasing precision. The local search routine in turn solves progressively stricter outer approximations of the underlying problem. The local solution estimator from a recently ended …

    vt Repository record for Stochastically Constrained Simulation Optimization On Mixed-Integer Spaces (opens in a new tab)