بدائل البحث:
feature optimization » swarm optimization (توسيع البحث), whale optimization (توسيع البحث), motor optimization (توسيع البحث)
feature optimization » swarm optimization (توسيع البحث), whale optimization (توسيع البحث), motor optimization (توسيع البحث)
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Multiclass feature selection with metaheuristic optimization algorithms: a review
منشور في 2022الموضوعات: احصل على النص الكامل
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EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
منشور في 2019"…A series of vocabularies consisting of 10 cluster centers of each class is calculated using the k-means cluster algorithm. Lastly, the emotion of each subject is represented using the histogram of the vocabulary set collected from the raw-feature of a single channel. …"
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An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
منشور في 2024"…Several metaheuristics, such as the Genghis Khan Shark Optimizer Algorithm (GKSO), can assist in optimizing the FS issue. …"
احصل على النص الكامل
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An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
منشور في 2022"…FS is an important data reduction step in data mining which finds the most representative features from the entire data. Many FS-based swarm intelligence algorithms have been used to tackle FS. …"
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StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features
منشور في 2024"…Additionally, we applied the local interpretable model-agnostic explanations (LIME) algorithm to understand the contribution of selected features to the overall prediction. …"
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
منشور في 2023"…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …"
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Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose
منشور في 2020"…These electronic instruments rely on Machine Learning (ML) algorithms for recognizing the sensed odors. The effect of long-term drift influences the performance of ML algorithms and the models those are trained on drift free data fail to perform on the drifted data. …"
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Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems
منشور في 2022الموضوعات: -
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Particle swarm optimization algorithm: review and applications
منشور في 2024"…This paper surveys the published papers in PSO algorithms. Twenty research papers are analyzed and classified according to the implementation area used by the PSO algorithm (neural networks, feature selection, and data clustering). …"
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Arithmetic optimization algorithm: a review and analysis
منشور في 2024"…A metaheuristic algorithm called arithmetic optimization algorithm (AOA) is developed to solve various optimization problems. …"
احصل على النص الكامل
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Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
منشور في 2023"…The hyper parameters are optimized with DM optimization algorithm which improves the accuracy of classifier. …"
احصل على النص الكامل
احصل على النص الكامل
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18
Bootstrap-based Aggregations and their Stability in Feature Selection
منشور في 2022احصل على النص الكامل
doctoralThesis -
19
Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems
منشور في 2023الموضوعات: -
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Physical optimization algorithms for mapping data to distributed-memory multiprocessors
منشور في 1992"…We also present a technique for efficient mapping of large data sets. The algorithms include a parallel genetic algorithm (PGA), a parallel neural network algorithm (PNN) and a parallel simulated annealing algorithm (PSA). …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis