بدائل البحث:
content algorithm » control algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
dbo algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث)
complement » implement (توسيع البحث), complementary (توسيع البحث)
element » elements (توسيع البحث)
colony » colon (توسيع البحث)
content algorithm » control algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
dbo algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث)
complement » implement (توسيع البحث), complementary (توسيع البحث)
element » elements (توسيع البحث)
colony » colon (توسيع البحث)
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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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Using artificial bee colony to optimize software quality estimation models. (c2015)
منشور في 2016"…In this thesis, we propose a novel heuristic based on Artificial Bee Colony (ABC) to optimize rule-based software quality prediction models. …"
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masterThesis -
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Recent advances on artificial intelligence and learning techniques in cognitive radio networks
منشور في 2015"…The literature survey is organized based on different artificial intelligence techniques such as fuzzy logic, genetic algorithms, neural networks, game theory, reinforcement learning, support vector machine, case-based reasoning, entropy, Bayesian, Markov model, multi-agent systems, and artificial bee colony algorithm. …"
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article -
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XBeGene: Scalable XML Documents Generator by Example Based on Real Data
منشور في 2012"…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …"
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conferenceObject -
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