KPLS Optimization With Nature-Inspired Metaheuristic Algorithms
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DOI: 10.1109/access.2020.3019771
Abstract: Kernel partial least squares regression (KPLS) is a technique used in several scientific areas because of its high predictive ability. This article proposes a methodology to simultaneously estimate both the parameters of the kernel function… read more here.
Keywords: nature inspired; optimization; metaheuristic algorithms; inspired metaheuristic ... See more keywords
Missing Value Imputation Designs and Methods of Nature-Inspired Metaheuristic Techniques: A Systematic Review
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DOI: 10.1109/access.2022.3172319
Abstract: Missing values are highly undesirable in real-world datasets. The missing values should be estimated and treated during the preprocessing stage. With the expansion of nature-inspired metaheuristic techniques, interest in missing value imputation (MVI) has increased.… read more here.
Keywords: nature inspired; inspired metaheuristic; review; missing value ... See more keywords
A Review of Quantum-Inspired Metaheuristic Algorithms for Automatic Clustering
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DOI: 10.3390/math11092018
Abstract: In real-world scenarios, identifying the optimal number of clusters in a dataset is a difficult task due to insufficient knowledge. Therefore, the indispensability of sophisticated automatic clustering algorithms for this purpose has been contemplated by… read more here.
Keywords: automatic clustering; inspired metaheuristic; metaheuristic algorithms; quantum inspired ... See more keywords