[PDF][PDF] Constraint-based causal discovery from multiple interventions over overlapping variable sets

S Triantafillou, I Tsamardinos - The Journal of Machine Learning Research, 2015 - jmlr.org
Scientific practice typically involves repeatedly studying a system, each time trying to unravel
a different perspective. In each study, the scientist may take measurements under different …

Bayesian structure learning and sampling of Bayesian networks with the R package BiDAG

P Suter, J Kuipers, G Moffa, N Beerenwinkel - arXiv preprint arXiv …, 2021 - arxiv.org
The R package BiDAG implements Markov chain Monte Carlo (MCMC) methods for
structure learning and sampling of Bayesian networks. The package includes tools to search …

Towards accurate root-alarm identification: The causal Bayesian network approach

MH Roohi, P Ramazi, T Chen - 2021 5th International …, 2021 - ieeexplore.ieee.org
Abnormalities in modern process industries are reported by alarms. Strong inter-
connectivities within different units of a plant lead to annunciations of multiple alarms in a …

Active learning for causal Bayesian network structure with non-symmetrical entropy

G Li, TY Leong - Advances in Knowledge Discovery and Data Mining …, 2009 - Springer
Causal knowledge is crucial for facilitating comprehension, diagnosis, prediction, and
control in automated reasoning. Active learning in causal Bayesian networks involves …

Structure learning of bayesian network with latent variables by weight-induced refinement

C He, K Yue, H Wu, W Liu - … of the 5th International Workshop on Web …, 2014 - dl.acm.org
Bayesian network (BN) with latent variables (LVs) provides a concise and straightforward
framework for representing and inferring uncertain knowledge with unobservable variables …

A Bayesian approach to ecosystem service trade-off analysis: the case of the Curonian Lagoon in Lithuania

SH Höfer - skemman.is
Ecosystem services are the basis of all life on the planet and through their interaction with
natural systems and with human civilization, are the main contributor to human well-being …

Computational Methods for Modelling and Analysing Biological Networks

A Larjo - 2015 - researchportal.tuni.fi
The main theme of this thesis is modelling and analysis of biological networks.
Measurement data from biological systems is being produced at such a pace that it is …

[引用][C] 基于Markov 毯分解的抽样近似推理算法

王浩, 曹龙雨, 姚宏亮, 李俊照 - 模式识别与人工智能, 2013

[引用][C] 一种基于因果强度的局部因果结构主动学习方法

周冬梅, 王浩, 姚宏亮, 李俊照, 张赞 - 计算机科学, 2012

[引用][C] 灵敏性分析下的因果网络参数的扰动学习研究

姚宏亮, 苌健, 王浩, 李俊照 - 计算机科学与探索, 2012