بدائل البحث:
elimination algorithm » maximization algorithm (توسيع البحث), optimization algorithms (توسيع البحث), segmentation algorithm (توسيع البحث)
process optimization » model optimization (توسيع البحث)
simple process » single process (توسيع البحث), complex process (توسيع البحث), sample processing (توسيع البحث)
binary simple » binary image (توسيع البحث), binary people (توسيع البحث)
data feature » data figure (توسيع البحث), each feature (توسيع البحث), a feature (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
elimination algorithm » maximization algorithm (توسيع البحث), optimization algorithms (توسيع البحث), segmentation algorithm (توسيع البحث)
process optimization » model optimization (توسيع البحث)
simple process » single process (توسيع البحث), complex process (توسيع البحث), sample processing (توسيع البحث)
binary simple » binary image (توسيع البحث), binary people (توسيع البحث)
data feature » data figure (توسيع البحث), each feature (توسيع البحث), a feature (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
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Integrative Clinical and Bio-mechanical Features Predict In-Hospital Trauma Mortality
منشور في 2024الموضوعات: -
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Variable Selection and Estimation for Misclassified Binary Responses and Multivariate Error-Prone Predictors
منشور في 2023"…The simultaneous appearance of these complex features make data analysis become challenging. To address those concerns, we propose a valid inferential method to deal with measurement error and handle variable selection simultaneously. …"
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Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19.
منشور في 2021"…<p>(A). The MCDM algorithm-Stage 1. Preprocessing, this stage is the process of refining the collected raw data to eliminate noise, including correlation analysis and feature selection based on P values. …"
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Data_Sheet_3_sigFeature: Novel Significant Feature Selection Method for Classification of Gene Expression Data Using Support Vector Machine and t Statistic.docx
منشور في 2020"…Many feature selection algorithms have been developed including the support vector machine recursive feature elimination procedure (SVM-RFE) and its variants. …"
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Data_Sheet_2_sigFeature: Novel Significant Feature Selection Method for Classification of Gene Expression Data Using Support Vector Machine and t Statistic.docx
منشور في 2020"…Many feature selection algorithms have been developed including the support vector machine recursive feature elimination procedure (SVM-RFE) and its variants. …"
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Data_Sheet_1_sigFeature: Novel Significant Feature Selection Method for Classification of Gene Expression Data Using Support Vector Machine and t Statistic.docx
منشور في 2020"…Many feature selection algorithms have been developed including the support vector machine recursive feature elimination procedure (SVM-RFE) and its variants. …"
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Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment
منشور في 2019"…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …"
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