بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
meta learning » deep learning (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
meta learning » deep learning (توسيع البحث)
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Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark
منشور في 2021"…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …"
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The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review
منشور في 2021"…We identified different machine learning models used in the selected studies, including classification models (18, 55%), regression models (5, 16%), model-based clustering methods (2, 6%), natural language processing (1, 3%), clustering algorithms (1, 3%), and deep learning–based models (3, 9%). …"
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Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data
منشور في 2021"…In addition, for grouping similar antipatterns, a clustering process was performed to eradicate the design errors. …"
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Severity-Based Prioritized Processing of Packets with Application in VANETs
منشور في 2019"…In this study, we propose a generic prioritization and resource management algorithm that can be used to prioritize processing of received packets in vehicular networks. …"
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Bee Colony Algorithm for Proctors Assignment.
منشور في 2015"…The Bee Colony algorithm is a recent population-based search algorithm that mimics the natural behavior of swarms of honey bees during the process of collecting food. …"
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Process Mining over Unordered Event Streams
منشور في 2020"…This requires online algorithms that, instead of keeping the whole history of event data, work incrementally and update analysis results upon the arrival of new events. …"
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A kernelization algorithm for d-Hitting Set
منشور في 2010"…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …"
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Mapping realistic data sets on parallel computers
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