بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
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261
<b>MACEDONIA OS: A Unified Scalar Field-Based Consciousness and Operating System Architecture</b>
منشور في 2025الموضوعات: -
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List of the time used by each algorithm.
منشور في 2024"…To this end, this paper proposes an entropy-based dynamic ensemble classification algorithm (EDAC) to consider data streams with class imbalance and concept drift simultaneously. …"
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Decision tree algorithms.
منشور في 2025"…We have used Random Forest, Bagging, and Boosting (AdaBoost) algorithms and have compared their performances. We have used decision tree (C4.5) as the base classifier of Random Forest and AdaBoost classifiers and naïve Bayes classifier as the base classifier of the Bagging model. …"
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269
Performance metrics of various algorithms.
منشور في 2025"…Initially, preference algorithms identify the most important features in various machine learning models, including logistic regression, K-nearest neighbor, decision tree, support vector machine (linear kernel), support vector machine ( RBF kernel), neural networks, etc. …"
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270
Algorithm comparison - top performances.
منشور في 2025"…Initially, preference algorithms identify the most important features in various machine learning models, including logistic regression, K-nearest neighbor, decision tree, support vector machine (linear kernel), support vector machine ( RBF kernel), neural networks, etc. …"
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271
Ranking of features for each algorithm.
منشور في 2025"…Initially, preference algorithms identify the most important features in various machine learning models, including logistic regression, K-nearest neighbor, decision tree, support vector machine (linear kernel), support vector machine ( RBF kernel), neural networks, etc. …"
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Code and data for <i>Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms</i>
منشور في 2024"…<p dir="ltr">Data and code for easy reproducibility of results described in the paper <i>Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms</i><i>, </i>published on the IEEE TrustCom-2024 (23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications).…"
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Table 1_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.xlsx
منشور في 2025"…This paper will suggest a new deep learning model that integrates ResNet101 and the Sparrow Search Optimization (SSO) algorithm to identify plant stress in urban agriculture environments. …"
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280