Results 1 to 10 of about 1,311,332 (340)
Mathematics, 2021 Since the discovery that machine learning can be used to effectively detect Android malware, many studies on machine learning-based malware detection techniques have been conducted.
Jaehyeong Lee +3 more
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A Selection Process for Genetic Algorithm Using Clustering Analysis
Algorithms, 2017 This article presents a newly proposed selection process for genetic algorithms on a class of unconstrained optimization problems. The k-means genetic algorithm selection process (KGA) is composed of four essential stages: clustering, membership phase ...
Adam Chehouri +4 more
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Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification [PDF]
Medical and Biological Engineering and Computing, 2021 Microarray gene expression data are often accompanied by a large number of genes and a small number of samples. However, only a few of these genes are relevant to cancer, resulting in significant gene selection challenges.
Xiongshi Deng +3 more
semanticscholar +1 more source
Coastal Sentiment Review Using Naïve Bayes with Feature Selection Genetic Algorithm
Scientific Journal of Informatics, 2023 Purpose: The tourism potential in the maritime sector can be Indonesia's mainstay at this time, especially in enjoying the charm of the natural beauty of the coast as people know Indonesia is an archipelagic country.
O. Somantri +2 more
semanticscholar +1 more source
Fast Genetic Algorithm for feature selection — A qualitative approximation approach
Expert systems with applications, 2023 We propose a two-stage surrogate-assisted evolutionary approach to address the computational issues arising from using Genetic Algorithm (GA) for feature selection in a wrapper setting for large datasets.
Mohammed Ghaith Altarabichi +3 more
semanticscholar +1 more source
Hierarchical Mission Planning for Cleaning Photovoltaic Panels Based on Improved Genetic Algorithm
Shanghai Jiaotong Daxue xuebao, 2021 Aimed at the mission planning for cleaning photovoltaic panels in large-area photovoltaic plants with mobile cleaning robots, a district planning strategy is hereby proposed.
LI Cuiming, WANG Ning, ZHANG Chen
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Applied Sciences, 2022 Hyperparameter tuning is a critical function necessary for the effective deployment of most machine learning (ML) algorithms. It is used to find the optimal hyperparameter settings of an ML algorithm in order to improve its overall output performance. To
Ismail Damilola Raji +5 more
semanticscholar +1 more source
Complexity, 2021 This article proposes an Analytic Hierarchy Process Dempster-Shafer (AHP-DS) and similarity-based network selection algorithm for the scenario of dynamic changes in user requirements and network environment; combines machine learning with network ...
Weiwei Xiao
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A novel community detection based genetic algorithm for feature selection [PDF]
Journal of Big Data, 2020 The feature selection is an essential data preprocessing stage in data mining. The core principle of feature selection seems to be to pick a subset of possible features by excluding features with almost no predictive information as well as highly ...
M. Rostami +2 more
semanticscholar +1 more source
Mathematics, 2021 Feature selection is a well-known prepossessing procedure, and it is considered a challenging problem in many domains, such as data mining, text mining, medicine, biology, public health, image processing, data clustering, and others.
A. Ewees +8 more
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