A behavioral multi-attribute decision making (BMADM) problem with probabilistic-based expressions is studied by considering decision-maker's (DM) risk attitude and pre-evaluation. With consideration of information expressions for uncertainty, probabilistic interval numbers (PINs) and probabilistic linguistic...
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion aclanthology.org/2020.findings-emnlp.427.pdf GitHub - ameyagodbole/Prob-CBRgithub.com/ameyagodbole/Prob-CBR 本文提出了一个无参数的,可以适应知识图谱动态增长的案例推理方法,可以完成知识图谱的补全任务。
Assessment of rock slope stability by probabilistic-based Slope Stability Probability Classification method along highway cut slopes in Adilcevaz- Bitlis (... Akgun,CANAL,Mutluhan,... - 《山地科学学报(英文)》 被引量: 11发表: 2016年 Assessment of rock slope stability by probabilistic-based Slope...
Probabilistic modelingBayesian networksBuilding performance is focused on maintaining and increasing sustainability while enhancing occupants' comfort levels. Occupants' comfort depends on uncertain, interrelated personal, social and building factors. However, the relationships between these factors are not ...
This article presents probabilistic sampling-based testing, a new technique using unequal probability sampling to exploit auxiliary information about the software under test so as to assess reliability unbiasedly and efficiently. The technique expedites the assessment process assuming the availability of ...
网络基于概率模型的聚类 网络释义 1. 基于概率模型的聚类 基于高斯混合模型的... ... )probabilistic-model-based clustering基于概率模型的聚类) model based clustering 基于模型聚类 ... www.dictall.com|基于 1 个网页
Over the past several years, we have begun to fully appreciate the value of probabilistic risk assessment (PRA) as a decision support tool. Risk assessment... AL Camp - 《Office of Scientific & Technical Information Technical Reports》 被引量: 4发表: 1994年 A Risk-Based Methodology and Tool...
This paper proposes an approach to investigate norm-governed learning agents which combines a logic-based formalism with an equation-based counterpart. Thi
The main idea is to adopt a machine learning method—Gaussian Process (GP) Model to establish the probabilistic-based correlation between the changes of dynamic properties of the monitored bridge and the corresponding temperature variations. Therefore, the modal parameters derived from the vibration ...
We propose a layer method of solving the Cauchy problem with simultaneous estimation of the solution gradient, which is based on the probabilistic ... Makarov,N R. - 《Rnam》 被引量: 36发表: 2003年 The multiresolution character of collocation (non-probabilistic) minimum mean-square-error crit...