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Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning

2013
The wrapper feature selection approach is useful in identifying informative feature subsets from high-dimensional datasets. Typically, an inductive algorithm “wrapped” in a search algorithm is used to evaluate the merit of the selected features. However, significant bias may be introduced when dealing with highly imbalanced dataset.
Pengyi Yang   +4 more
openaire   +1 more source

Exergy method to evaluate building wrapper performance

2012
Among the objectives of the Directive 2002/91/EC, Building wrapper is a very important building subsystem to control energy dispersion and consumption. The Architect should be able to change the wrapper energy performance in order to control energy consumption. How to value and compare this energy dispersion with exergy analysis?
FABBRI, KRISTIAN   +2 more
openaire   +1 more source

Selecting the Optimal Classifier for Wrapper-Based Feature Selection Methods

Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences
Dimensionality reduction, the elimination of irrelevant features, and the selection of an optimal subset of features are critical components in the construction of an efficacious machine learning model. Among the various feature selection methodologies, wrapper-based methods yield superior results due to their evaluation of candidate subsets.
Farzad Zandi   +2 more
openaire   +1 more source

Hybrid filter-wrapper feature selection using whale optimization algorithm: A multi-objective approach

Expert Systems With Applications, 2021
Adel Got   +2 more
exaly  

An Uncertainty-Accuracy-Based Score Function for Wrapper Methods in Feature Selection

2023 IEEE International Conference on Fuzzy Systems (FUZZ), 2023
Mansoureh Maadi   +2 more
openaire   +1 more source

Improving Air Pollution Prediction Modelling Using Wrapper Feature Selection

Sustainability, 2022
ahmad zia Ul-saufie   +2 more
exaly  

A novel multi-objective forest optimization algorithm for wrapper feature selection

Expert Systems With Applications, 2021
Babak Nouri-Moghaddam   +2 more
exaly  

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