بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
found scheduling » ahead scheduling (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
found scheduling » ahead scheduling (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
منشور في 2016احصل على النص الكامل
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Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
منشور في 2022"…The accuracy of these algorithms was assessed with standard statistical measures and ground truth data randomly collected in Prince Edward Island, Canada. …"
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A distributed genetic algorithm for deterministic and stochastic labor scheduling problems
منشور في 1999"…In this paper we present a unified formulation for these three labor scheduling problems and introduce a distributed genetic algorithm (DGA) that solves each of them. …"
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احصل على النص الكامل
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
منشور في 2022الموضوعات: "…Data clustering…"
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Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques
منشور في 2020"…In this research, different machine-learning algorithms such as logistic regression, random forest and naïve Bayes were tuned and tested. …"
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Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
منشور في 2022الموضوعات: "…orthogonal learning (OL)…"
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A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems
منشور في 2024"…<p dir="ltr">This study investigates the no-wait flow shop scheduling problem and proposes a hybrid (HES-IG) algorithm that utilizes makespan as the objective function. …"
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Predicting Dropouts among a Homogeneous Population using a Data Mining Approach
منشور في 2019الموضوعات: احصل على النص الكامل
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024الموضوعات: -
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Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence
منشور في 2020"…One of the best algorithms in terms of the result is the Long Short Term Memory (LSTM) since it is based on recurrent neural networks which uses loop as a method to learn from heuristics data. …"
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