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pro vyhledávání: '"Bayes theory"'
In statistical learning theory, a generalization bound usually involves a complexity measure imposed by the considered theoretical framework. This limits the scope of such bounds, as other forms of capacity measures or regularizations are used in alg
Externí odkaz:
http://arxiv.org/abs/2402.13285
Autor:
J. A. Hartigan
This book is based on lectures given at Yale in 1971-1981 to students prepared with a course in measure-theoretic probability. It contains one technical innovation-probability distributions in which the total probability is infinite. Such improper di
Akademický článek
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Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
The belief rule base is crucial in expert systems for intelligent diagnosis of equipment. However, in the belief rule base for fault diagnosis, multiple antecedent attributes are often initially determined by domain experts. Multiple fault symptoms r
Externí odkaz:
https://doaj.org/article/b97053e97d53428aa0a446bf04fe9026
Akademický článek
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Despite recent advances in its theoretical understanding, there still remains a significant gap in the ability of existing PAC-Bayesian theories on meta-learning to explain performance improvements in the few-shot learning setting, where the number o
Externí odkaz:
http://arxiv.org/abs/2105.14099
Publikováno v:
Oil Drilling & Production Technology / Shiyou Zuancai Gongyi. May2020, Vol. 42 Issue 3, p265-270. 6p.
Autor:
Bhattacharya, Rabi, Oliver, Rachel
This article focuses on the performance of Bayes estimators, in comparison with the MLE, in multinomial models with a relatively large number of cells. The prior for the Bayes estimator is taken to be the conjugate Dirichlet, i.e., the multivariate B
Externí odkaz:
http://arxiv.org/abs/1910.02316