A comparative analysis of meta-heuristic optimization algorithms for feature selection and feature weighting in neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-021-00634-6
Abstract: Feature selection and feature weighting are frequently used in machine learning for processing high dimensional data. It reduces the number of features in the dataset and makes the classification process easier. Meta-heuristic algorithms are widely… read more here.
Keywords: optimization; feature weighting; selection feature; feature selection ... See more keywords
A Feature-Weighting Approach Using Metaheuristic Algorithms to Evaluate the Performance of Handball Goalkeepers
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DOI: 10.1109/access.2022.3156120
Abstract: Handball experts agree that the most crucial position in a handball match is that of the goalkeeper. Their performance can be a good predictor of a team’s ranking in tournaments. Despite this, few studies have… read more here.
Keywords: handball; handball goalkeepers; metaheuristic algorithms; feature weighting ... See more keywords
A Unifying Framework of Attention-Based Neural Load Forecasting
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DOI: 10.1109/access.2023.3275095
Abstract: Accurate load forecasting is critical for reliable and efficient planning and operation of electric power grids. In this paper, we propose a unifying deep learning framework for load forecasting, which includes time-varying feature weighting, hierarchical… read more here.
Keywords: error correction; load forecasting; framework; feature weighting ... See more keywords
A Correlation-Based Feature Weighting Filter for Naive Bayes
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2018.2836440
Abstract: Due to its simplicity, efficiency, and efficacy, naive Bayes (NB) has continued to be one of the top 10 algorithms in the data mining and machine learning community. Of numerous approaches to alleviating its conditional… read more here.
Keywords: naive bayes; feature weighting; feature; based feature ... See more keywords