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Titlebook: Metaheuristics for Machine Learning; New Advances and Too Mansour Eddaly,Bassem Jarboui,Patrick Siarry Book 2023 The Editor(s) (if applicab

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Book 2023e machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking..
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2510-1765 tics in machine learning.Offers an overview of main metaheurUsing metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatic
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terest stems partly from the vast differences in optical and electronic properties which polymers exhibit and their usefulness. A microscopic description of how electronic energy is transported and trapped and the various routes of dissipation is essential for understanding inhibition of photodegrad
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terest stems partly from the vast differences in optical and electronic properties which polymers exhibit and their usefulness. A microscopic description of how electronic energy is transported and trapped and the various routes of dissipation is essential for understanding inhibition of photodegrad
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Adán José-García,Julie Jacques,Vincent Sobanski,Clarisse Dhaenensns that" ... all interrogative sentences can be derived, by means of the independently established transformations of the language, from sentences which assert that someone is asking about a disjunction of statements which are the relevant possible answers to that interroga­ tive." This amounts to t
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M. Ratli,A. Ait El Cadi,B. Jarboui,M. Eddalyf time. In order to obtain such estimates, some properties of the circulatory system and of the specific protein have to be known. In some cases the information needed may be limited. For example, information on the fractional catabolic rate constant (FCR) and the plasma concentration of protein wou
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