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Andrei Khrennikovrm, improving robustness of latent feature learning using double-space, data-characteristic-aware latent feature learning, posterior-neighborhood-regularized latent feature learning, and generalized deep latent978-981-19-8139-5978-981-19-8140-1Series ISSN 2191-5768 Series E-ISSN 2191-5776resistant 发表于 2025-3-23 22:36:15
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Book 1999 generators were defined according to algebraic laws, and nothing like Newton‘s analysis arose when Martin‘s approach was used. Later, during the next twenty years, the algebraic apparatus de veloped by Martin was used in all mathematical works. We must point out here the considerable contribution创作 发表于 2025-3-24 08:46:30
Pseudodifferential Operators in Superanalysis,infinite number degrees of freedom. In a finite-dimensional case, we obtain quantum mechanics on the superspace R.Λ and in an infinite-dimensional case we obtain a quantum theory of a superfield, in particular, that of a superstring and superstring field, and fermion theories and boson theories with anticommuting Faddeev-Popov ghosts.BRUNT 发表于 2025-3-24 13:16:31
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Pseudodifferential Operators in Superanalysis,percoordinates. Thus, the proposed PDO calculus serves as a mathematical basis for the quantization of physical supersystems with a finite as well as infinite number degrees of freedom. In a finite-dimensional case, we obtain quantum mechanics on the superspace R.Λ and in an infinite-dimensional cas