بدائل البحث:
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
selection using » detection using (توسيع البحث), prediction using (توسيع البحث), allocation using (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
selection using » detection using (توسيع البحث), prediction using (توسيع البحث), allocation using (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
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Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 2024"…This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). To evaluate FSAs effectively, controlled environments are required, and the use of synthetic datasets offers significant advantages. …"
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An enhanced quorum selection algorithm
منشور في 2009احصل على النص الكامل
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An Improved Quorum Selection Algorithm
منشور في 2008احصل على النص الكامل
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Empirical comparison of regression test selection algorithms
منشور في 2001"…In the maintenance phase, the regression test selection problem refers to selecting test cases from the initial suite of test cases used in the development phase. …"
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An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm
منشور في 2021"…The Support Vector Machine (SVM) algorithm is used for classification and the average F-Score is used as fitness function and target condition. …"
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Multiclass feature selection with metaheuristic optimization algorithms: a review
منشور في 2022"…In finding the solution to issues related to multiclass feature selection, only articles on metaheuristic algorithms used for multiclass feature selection problems from the year 2000 to 2022 were reviewed about their different categories and detailed descriptions. …"
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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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Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect
منشور في 2022"…The second phase, modified the Artificial Bee Colony (ABC) Algorithm, with Upper Confidence Bound (UCB) Algorithm, to promote the exploitation ability for the minimum dimension, to get the minimum number of the optimal feature, then using forward feature selection strategy by four classifiers of machine learning algorithms: (K-Nearest Neighbors (KNN), Support vector machines (SVM), Naïve-Bayes (NB), and Polynomial Neural Networks (PNN). …"
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15
Multi-marker-LD based genetic algorithm for tag SNP selection
منشور في 2014"…The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. …"
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Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 2022"…The outcomes revealed that these ML algorithms can be useful in predicting ground losses during wild blueberry harvesting in the selected fields.…"
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CNN and HEVC Video Coding Features for Static Video Summarization
منشور في 2022احصل على النص الكامل
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