VEST
发表于 2025-3-27 00:51:18
Rosineide F. da Paz,Ricardo S. Ehlers,Jorge L. Bazánearchers in the fields of environment, disaster risk reduction, and climate change studies. The book will provide them with a good idea of the current trend of research in the field and will furnish basic know978-4-431-54691-7978-4-431-54252-0Series ISSN 2196-4106 Series E-ISSN 2196-4114
序曲
发表于 2025-3-27 04:39:27
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Pudendal-Nerve
发表于 2025-3-27 09:21:03
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尾巴
发表于 2025-3-27 13:12:09
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噱头
发表于 2025-3-27 16:49:07
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Estrogen
发表于 2025-3-27 18:23:13
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Fretful
发表于 2025-3-28 01:38:28
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音乐会
发表于 2025-3-28 04:33:01
A Maximum Entropy Approach to Learn Bayesian Networks from Incomplete Data,y. We argue that high probability is necessary but not sufficient in order to obtain good estimates. We present an approach based on maximum entropy to address this problem and describe a simple and effective way to implement it. Experiments show that our approach produces significantly better estimates than the most commonly used method.
出血
发表于 2025-3-28 07:48:38
A Bayesian Approach to Predicting Football Match Outcomes Considering Time Effect Weight,ties of winning the tournament assuming different values for the weight attached to the experts’ information and different choices for the sequence of weights attached to the previous observed matches. The methodology is illustrated on the 2010 Football Word Cup.
HAVOC
发表于 2025-3-28 11:02:03
A Weibull Mixture Model for the Votes of a Brazilian Political Party,in 50 % of the votes in the first round was estimated. The results show that only few components are needed to describe the votes obtained in this election. Finally, we found that the probability of obtaining 50 % of the votes in the first ballot is increasing along time. Future developments are discussed.