sed-rate
发表于 2025-3-28 17:04:27
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sclera
发表于 2025-3-28 18:47:00
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相反放置
发表于 2025-3-29 00:20:20
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cleaver
发表于 2025-3-29 03:44:28
Helmut Zwölfering,signal processing, optimization, and neural networks. The book is interdisciplinary, connecting mathematics, information sciences, physics, and neurosciences, inviting readers to a new world of information 978-4-431-56743-1978-4-431-55978-8Series ISSN 0066-5452 Series E-ISSN 2196-968X
截断
发表于 2025-3-29 10:40:13
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令人作呕
发表于 2025-3-29 13:45:12
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CLEFT
发表于 2025-3-29 16:21:59
Rolf Ziegler our purposes in the sequel and pointers for those who wish to pursue more geometrical features of the spaces of probability density functions that are our focus in the sequel. In fact, readers who are comfortable with doing calculations of curves and their arc length on surfaces in 葷. could omit th
Pathogen
发表于 2025-3-29 23:07:33
Werner Peters on smooth spaces of parametric statistical models, that is, on smooth spaces of probability density functions. Amari , Amari and Nagaoka , Barndorff-Nielsen and Cox , Kass and Vos and Murray and Rice provide modern accounts of the differential geometry that arises from the
farewell
发表于 2025-3-30 03:02:09
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拥挤前
发表于 2025-3-30 05:18:11
Lutz Thilo Wasserthalwo complementary ways to view a probability distribution. One consists in viewing it as (positive) measure with total mass 1. The other considers it as an equivalence class of such measures, determined up to a global scaling factor. The natural geometry underlying the first is that of the unit simpl