Page Summary: Abstract: Counterfactual explanations are usually generated through heuristics that are sensitive to the search's initial conditions. Abstract: We present theoretical and computational results relating to a set of works where we apply random projection techniques ...
Machine Learning Needs Mathematical Optimization With Prof Isabel Valera -
Abstract: Counterfactual explanations are usually generated through heuristics that are sensitive to the search's initial conditions. Abstract: We present theoretical and computational results relating to a set of works where we apply random projection techniques ... Abstract: The minimum sum-of-squares clustering (MSSC), or k-means type clustering, is traditionally considered an unsupervised ...
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- Abstract: Counterfactual explanations are usually generated through heuristics that are sensitive to the search's initial conditions.
- Abstract: We present theoretical and computational results relating to a set of works where we apply random projection techniques ...
- Abstract: The minimum sum-of-squares clustering (MSSC), or k-means type clustering, is traditionally considered an unsupervised ...
- Abstract: Given a problem (P) and a parametrised algorithm A for solving instances of (P), the Algorithm Configuration Problem ...
- Abstract: As automated data analysis supplements and even replaces human supervision in consequential decision-making (e.g., ...
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