将贝叶斯状态空间建模方法应用于东海带鱼的资源评估,状态过程使用Pella-Tomlinson形式的剩余产量模型,同时考虑了过程误差与观测误差。建立了4种有、无先验信息的混合模型,进行马尔可夫链蒙特卡罗(Markov chain monte carlo,MCMC)模拟...将贝叶斯状态空间建模方法应用于东海带鱼的资源评估,状态过程使用Pella-Tomlinson形式的剩余产量模型,同时考虑了过程误差与观测误差。建立了4种有、无先验信息的混合模型,进行马尔可夫链蒙特卡罗(Markov chain monte carlo,MCMC)模拟。结果显示,有内禀增长率r、环境容量K先验信息的模型1通过了收敛和自相关诊断,并得到了最小的DIC(deviance information criterion)值;不同先验分布对参数r、K输出结果影响较大,说明数据对r、K的先验分布比较敏感;3种P-T模型中,r、K的后验分布与先验分布类型都相差较大,这表明与先验分布相比,数据对参数r、K的后验分布产生了较大影响。生物学参考点的结果显示,东海带鱼在1995—2010年处于过度捕捞状态(产量超过最大持续产量MSY),在2000—2006年情况恶化(捕捞死亡系数F>FMSY),2012年状况较好,但仍需要加强管理。展开更多
Landslide hazard mapping is a fundamental tool for disaster management activities in Loess terrains. Aiming at major issues with these landslide hazard assessment methods based on Naive Bayesian classification techniq...Landslide hazard mapping is a fundamental tool for disaster management activities in Loess terrains. Aiming at major issues with these landslide hazard assessment methods based on Naive Bayesian classification technique, which is difficult in quantifying those uncertain triggering factors, the main purpose of this work is to evaluate the predictive power of landslide spatial models based on uncertain Naive Bayesian classification method in Baota district of Yan＇an city in Shaanxi province, China. Firstly, thematic maps representing various factors that are related to landslide activity were generated. Secondly, by using field data and GIS techniques, a landslide hazard map was performed. To improve the accuracy of the resulting landslide hazard map, the strategies were designed, which quantified the uncertain triggering factor to design landslide spatial models based on uncertain Naive Bayesian classification method named NBU algorithm. The accuracies of the area under relative operating characteristics curves（AUC） in NBU and Naive Bayesian algorithm are 87.29% and 82.47% respectively. Thus, NBU algorithm can be used efficiently for landslide hazard analysis and might be widely used for the prediction of various spatial events based on uncertain classification technique.展开更多
The main thrust of this paper is application of a novel data mining approach on the log of user' s feedback to improve web multimedia information retrieval performance. A user space model was constructed based...The main thrust of this paper is application of a novel data mining approach on the log of user' s feedback to improve web multimedia information retrieval performance. A user space model was constructed based on data mining, and then integrated into the original information space model to improve the accuracy of the new information space model. It can remove clutter and irrelevant text information and help to eliminate mismatch between the page author' s expression and the user' s understanding and expectation. User spacemodel was also utilized to discover the relationship between high-level and low-level features for assigning weight. The authors proposed improved Bayesian algorithm for data mining. Experiment proved that the au-thors' proposed algorithm was efficient.展开更多
文摘将贝叶斯状态空间建模方法应用于东海带鱼的资源评估,状态过程使用Pella-Tomlinson形式的剩余产量模型,同时考虑了过程误差与观测误差。建立了4种有、无先验信息的混合模型,进行马尔可夫链蒙特卡罗(Markov chain monte carlo,MCMC)模拟。结果显示,有内禀增长率r、环境容量K先验信息的模型1通过了收敛和自相关诊断,并得到了最小的DIC(deviance information criterion)值;不同先验分布对参数r、K输出结果影响较大,说明数据对r、K的先验分布比较敏感;3种P-T模型中,r、K的后验分布与先验分布类型都相差较大,这表明与先验分布相比,数据对参数r、K的后验分布产生了较大影响。生物学参考点的结果显示,东海带鱼在1995—2010年处于过度捕捞状态(产量超过最大持续产量MSY),在2000—2006年情况恶化(捕捞死亡系数F>FMSY),2012年状况较好,但仍需要加强管理。
基金Projects(41362015,51164012) supported by the National Natural Science Foundation of ChinaProject(2012AA061901) supported by the National High-tech Research and Development Program of China
文摘Landslide hazard mapping is a fundamental tool for disaster management activities in Loess terrains. Aiming at major issues with these landslide hazard assessment methods based on Naive Bayesian classification technique, which is difficult in quantifying those uncertain triggering factors, the main purpose of this work is to evaluate the predictive power of landslide spatial models based on uncertain Naive Bayesian classification method in Baota district of Yan＇an city in Shaanxi province, China. Firstly, thematic maps representing various factors that are related to landslide activity were generated. Secondly, by using field data and GIS techniques, a landslide hazard map was performed. To improve the accuracy of the resulting landslide hazard map, the strategies were designed, which quantified the uncertain triggering factor to design landslide spatial models based on uncertain Naive Bayesian classification method named NBU algorithm. The accuracies of the area under relative operating characteristics curves（AUC） in NBU and Naive Bayesian algorithm are 87.29% and 82.47% respectively. Thus, NBU algorithm can be used efficiently for landslide hazard analysis and might be widely used for the prediction of various spatial events based on uncertain classification technique.
文摘The main thrust of this paper is application of a novel data mining approach on the log of user' s feedback to improve web multimedia information retrieval performance. A user space model was constructed based on data mining, and then integrated into the original information space model to improve the accuracy of the new information space model. It can remove clutter and irrelevant text information and help to eliminate mismatch between the page author' s expression and the user' s understanding and expectation. User spacemodel was also utilized to discover the relationship between high-level and low-level features for assigning weight. The authors proposed improved Bayesian algorithm for data mining. Experiment proved that the au-thors' proposed algorithm was efficient.
