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一种改进的Bayesian网络结构学习算法

基于模型选择的 Bayesian网络 ( BN)结构学习是 NP难的可行解搜索过程 .针对现有算法在复杂系统求解中时间效率低的问题 ,提出了一种新的基于最小描述长度 ( minimal description length)理论的结构学习算法 I-B &  (本文共6页) 阅读全文>>

《China Ocean Engineering》2019年01期
China Ocean Engineering

Failure Statistics Analysis Based on Bayesian Theory: A Study of FPSO Internal Turret Leakage

The load and corrosion caused by the harsh marine environment lead to the severe degradation of offshore equipment and to their compromised security and reliability. In the quantitative risk analysis, the failure models are difficult to establish through traditional statistical methods. Hence, the calculation of the occurrence probability of small sample events is often met with great uncertainty. In this study, the ...  (本文共12页) 阅读全文>>

《Big Data Mining and Analytics》2019年03期
Big Data Mining and Analytics

Bayesian Analysis of Complex Mutations in HBV, HCV,and HIV Studies

In this article, we aim to provide a thorough review of the Bayesian-inference-based methods applied to Hepatitis B Virus(HBV), Hepatitis C Virus(HCV), and Human Immunodeficiency Virus(HIV) studies with a focus on the detection of the viral mutations and various problems which are correlated to these mutations. It is particularly difficult to detect and interpret these interacting mutation patterns, but by using Baye...  (本文共14页) 阅读全文>>

《Journal of Electronic Science and Technology》2019年01期
Journal of Electronic Science and Technology

Hyperparameter Optimization for Machine Learning Models Based on Bayesian Optimization

Hyperparameters are important for machine learning algorithms since they directly control the behaviors of training algorithms and have a significant effect on the performance of machine learning models. Several techniques have been developed and successfully applied for certain application domains. However, this work demands professional knowledge and expert experience. And sometimes it has to resort to the brute-fo...  (本文共15页) 阅读全文>>

《Communications in Theoretical Physics》2019年09期
Communications in Theoretical Physics

Comparison Between χ~2 and Bayesian Statistics with Considering the Redshift Dependence of Stretch and Color from JLA Data

In this work, we compare the impacts given by χ~2 statistics and Bayesian statistics. Bayesian statistics is a new statistical method proposed by [C. Ma, P. S. Corasaniti, and B. A. Bassett, arXiv:1603.08519[astro-ph.CO](2016)]recently, which gives a fully account for the standard-candle parameter dependence of the data covariance matrix. For this two statistical methods, we explore the possible redshift-dependence o...  (本文共12页) 阅读全文>>

《Acta Mathematicae Applicatae Sinica》2018年01期
Acta Mathematicae Applicatae Sinica

Bayesian Planning of Optimal Step-stress Accelerated Life Test for Log-location-scale Distributions

This paper introduces some Bayesian optimal design methods for step-stress accelerated life test planning with one accelerating variable, when the acceleration model is linear in the accelerated variable or its function, based on censored data from a log-location-scale distributions. In order to find the optimal plan,we propose different...  (本文共14页) 阅读全文>>