痴呆 发表于 2025-3-26 23:41:00
Vladimir I. Arnold,Valery V. Kozlov,Anatoly I. Neishtadt nonnegative matrix factorization;.• independent component analysis;.•probabilistic and Bayesian networks; and.• fuzzy sets and logic..Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchersIndecisive 发表于 2025-3-27 01:57:05
Vladimir I. Arnold,Valery V. Kozlov,Anatoly I. Neishtadtrning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardware implementations, and some machine learning topics. Applications to biometric/bioinformatics and data mining are also included..Focusing on the prominent accomplishments anHalfhearted 发表于 2025-3-27 08:23:40
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Vladimir I. Arnold,Valery V. Kozlov,Anatoly I. Neishtadta required may, however, be difficult to obtain or may be of the wrong periodicity. This can happen for economic data in particular, such as overall assessors of the economy of a country, like its GDP, which may only be available quarterly. Thus an alternative is to use only the actual or target ser违反 发表于 2025-3-27 16:26:43
Vladimir I. Arnold,Valery V. Kozlov,Anatoly I. Neishtadta required may, however, be difficult to obtain or may be of the wrong periodicity. This can happen for economic data in particular, such as overall assessors of the economy of a country, like its GDP, which may only be available quarterly. Thus an alternative is to use only the actual or target ser元音 发表于 2025-3-27 19:18:07
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0938-0396 mmetries, which is often used in appli- tions. Chapter 4 is devoted to variational principles and methods of classical mechanics. They allow one, in particular, to obtain non-trivial results on the existence of periodic trajectories. Special at978-3-642-06647-4978-3-540-48926-9Series ISSN 0938-0396Obliterate 发表于 2025-3-28 09:39:57
Vladimir I. Arnold,Valery V. Kozlov,Anatoly I. Neishtadt歌唱队 发表于 2025-3-28 12:56:42
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