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Although several solution methods have been developed to solve this problem, mainly based on heuristic techniques, they have serious limitations in the number of warehouses, products, and consumer zones they can handle.
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Most programs learning Bayesian networks from data are based on heuristic search techniques of identifying good models.
Many BN structure learning algorithms are based on heuristic search techniques with the likelihood approximation because of the infeasible computational complexity.
Also, for each granularity (terms and aspects), we explore one technique based on heuristics and one based on machine learning and verify which ones provide the best results.
Today, predicting that surgery outcome is essentially based on heuristic.
Only optimal control approaches were proposed based on heuristic rules.
This heuristic is based on Heuristic 2, where we dynamically increase the number of allowed recursions as needed.
Algorithms based on heuristic approaches reduce the effort in parameter identification and computation time.
We also provide a thorough study, by comparing the impact of different techniques, based on heuristics and machine learning, on the recommendation accuracy.
Language dependent: Most of the anti-phishing techniques are based on heuristics, which include the keyword frequently appearing in the phishing website [13, 14].
While most feature selection techniques are based on heuristics, l1- l2 regularization is asymptotically consistent from the statistical viewpoint, i.e. theoretical results [ 36] guarantee that the best possible estimator is found as the number of training samples increases.
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