… Skeleton-based action recognition with spatial reasoning and temporal stack learning. In:
Proceedings of the 15th European Conference on Computer Vision. Munich, Germany: …

… , and used supervised learning approach to train probabilistic models. We modeled the …
show that CRF outperforms SVM, when temporal relationship is considered. In addition, we …

针对复杂系统故障诊断建模及推理的复杂性, 数据不足, 领域知识及监测信息不完备等问题, 本文
基于动态不确定因果图(Dynamic uncertain causality graph, DUCG) 进行权重逻辑推理(…

本文提出結合約略集合理論(Rough Set Theory)及資料包絡分析法(DEA)之混合式模型,利用企業
歷史資料來建構一財務預警系統.資料包絡分析法善於處理財務上量化的資料,約略集合理論則…

Over the last decade, the internet has become an important and growing alternative shopping
resource for consumers to purchase a variety of goods and services. In this study, over …

Fengshui was originally a methodology for nurture of both spirit and fertility based on the
relationship between water, wind, and qi, and was first used in the selection of sites of …

… The probabilistic model building performed by estimation of … whole problem structure by
probabilistic modeling due to certain … a notion that the estimated probabilistic models should be …

… the loss function with Probabilistic Linguistic Terms Sets (PLTSs) is introduced in the
paper,and we also propose a PLTS evaluation ⁃ based approach to achieve the thresholds and …

… SSTD by using trains of spikes (binary temporal events) transmitted among spatially located
synapses and neurons. Both spatial and temporal information can be encoded in an SNN as …

… Abstract :Probabilistic planning has an important role in … probabilistic plan domain definition
language (PPDDL) , followed by its syntax and semantics. Various methods of probabilistic …