裁决
发表于 2025-3-23 11:55:28
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轻打
发表于 2025-3-23 15:13:14
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媒介
发表于 2025-3-23 19:12:51
Conclusion and Outlook,pects of the phenomenon. Yet other aspects remain completely unknown, and there is no hope that the process generating the data indeed comes from the model class. For this reason, the statistician may be content with having non-zero error no matter how much data may become available now or in the fu
neutral-posture
发表于 2025-3-23 23:10:38
Book 2020orm of stochastic dependence. All the results presented are theoretical, but they concern the foundations of some problems in such applied areas as machine learning, information theory and data compression.
大骂
发表于 2025-3-24 05:38:42
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persistence
发表于 2025-3-24 09:08:20
Prediction in KL Divergence,This chapter contains the main results of this volume, it is devoted to the problems of prediction with KL loss.
ARCH
发表于 2025-3-24 13:12:04
Daniil RyabkoConsiders problem of sequential probability forecasting in the most general setting.Results presented concern the foundations of problems in areas such as machine learning, information theory and data
Pcos971
发表于 2025-3-24 16:08:05
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人造
发表于 2025-3-24 20:02:52
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Ringworm
发表于 2025-3-24 23:18:15
Notation and Definitions, …, ... We consider stochastic processes (probability measures) on . where . is the sigma-field generated by the (countable) set . of cylinders, . where the words .. take all possible values in .. We use . for expectation with respect to a measure ..