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Eine Liste aller Seiten, die das Attribut „Kurzfassung“ mit dem Wert „Feature Selection is an important process in Machine Learning to improve model training times and complexity. One state-of-the art approach is Wrapper Feature Selection where subsets of features are evaluated. Because we can not evaluate all 2^n subsets an appropriate search strategy is vital. Bayesian Optimization has already been successfully used in the context of hyperparameter optimization and very specific Feature Selection contexts. We want to look on how to use Bayesian Optimization for Feature Selection and discuss its limitations and possible solutions.“ haben. Weil nur wenige Ergebnisse gefunden wurden, werden auch ähnliche Werte aufgelistet.

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Meta-Modeling the Feature Space + (Feature Selection is an important process … Feature Selection is an important process in Machine Learning to improve model training times and complexity. One state-of-the art approach is Wrapper Feature Selection where subsets of features are evaluated. Because we can not evaluate all 2^n subsets an appropriate search strategy is vital.</br>Bayesian Optimization has already been successfully used in the context of hyperparameter optimization and very specific Feature Selection contexts. We want to look on how to use Bayesian Optimization for Feature Selection and discuss its limitations and possible solutions.ss its limitations and possible solutions.)

Meta-Modeling the Feature Space +