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by
Sahana, Sudip Kumar. editor.
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, computational neurosciences, neurodynamics, bioinspired and biomorphic algorithms, cross disciplinary topics and
by
Shen, Jun. author.
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algorithms are applicable for large-scale systems. The theory and control strategies developed will not only
by
Schukei, Robert, author.
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Neural networks, ensemble algorithms, neuroevolution, and genetic algorithms all have shown the
by
Allen, James, 1950-
ScienceDirect https://www.sciencedirect.com/science/book/9781558601376
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and develops a powerful family of algorithms for plan recognition in complex situations. Richard
by
Ma, Min, author. (orcid)0000-0002-1816-1772
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significant improvements by using the source application information. (3) Marrying machine learning algorithms
by
Islam, S. M. Ashiqul, author.
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-assisted algorithms PredSTP and CSPred to predict structural and functional characteristics, respectively, of cystine
by
Guan, Meijian, author.
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. The performances of RNNs was compared to five machine learning algorithms including Naive Bayes (NB
by
Pasricha, Rajiv, author.
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recommendation tasks by adapting ideas from metric learning and knowledge-graph completion. These algorithms
by
Zhao, Grace, author. (orcid)0000-0002-3998-0988
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highly relevant web resources via a set of domain-centric re-ranking algorithms and adaptive ontology
by
Cai, Ermao, author.
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algorithms or optimization techniques. To have accurate models, one needs to consider not only technology
by
Angola Abreu, Enrique D., author.
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bins. This process eliminates the need for data dimension reduction algorithms. The method of "pseudo
by
Islam, S. M. Ashiqul, author.
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To contribute to developing this pipeline, I developed the machine learning-assisted algorithms

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