Causal discovery from temporal data: An overview and new perspectives
Temporal data, representing chronological observations of complex systems, has always
been a typical data structure that can be widely generated by many domains, such as …
been a typical data structure that can be widely generated by many domains, such as …
Dynamic Bayesian network modeling, learning, and inference: A survey
Since the introduction of Dynamic Bayesian Networks (DBNs), their efficiency and
effectiveness have increased through the development of three significant aspects:(i) …
effectiveness have increased through the development of three significant aspects:(i) …
Exploring urban travel patterns using density-based clustering with multi-attributes from large-scaled vehicle trajectories
J Tang, W Bi, F Liu, W Zhang - Physica A: Statistical Mechanics and its …, 2021 - Elsevier
Extracting travel patterns from large-scaled vehicle trajectories is the key step to analyze
urban travel characteristics, which can also provide effective strategies for urban traffic …
urban travel characteristics, which can also provide effective strategies for urban traffic …
Bayesian network structure learning with improved genetic algorithm
B Sun, Y Zhou - International Journal of Intelligent Systems, 2022 - Wiley Online Library
As an important model of machine learning, Bayesian networks (BNs) have received a lot of
attentions since they can be used for classification via probabilistic inference. However …
attentions since they can be used for classification via probabilistic inference. However …
Segment-wise time-varying dynamic Bayesian network with graph regularization
Time-varying dynamic Bayesian network (TVDBN) is essential for describing time-evolving
directed conditional dependence structures in complex multivariate systems. In this article …
directed conditional dependence structures in complex multivariate systems. In this article …
Discovering trip hot routes using large scale taxi trajectory data
L Zheng, Q Feng, W Liu, X Zhao - … ADMA 2016, Gold Coast, QLD, Australia …, 2016 - Springer
Discovering trip hot routes is very meaningful for drivers to pick up a passenger, as well as
for managers to plan urban public transport. Riding by taxis is one of the important means of …
for managers to plan urban public transport. Riding by taxis is one of the important means of …
Online directed-structural change-point detection: A segment-wise time-varying dynamic Bayesian network approach
High-dimensional data streams exist in many applications. Generally these high-
dimensional streaming data have complex directed conditional dependence relationships …
dimensional streaming data have complex directed conditional dependence relationships …
The design of a cloud-based tracker platform based on system-of-systems service architecture
Devices embedded with position tracking facilities are now widely available, such as
smartphones, smartwatches, vehicle location trackers, etc. However, data mining and …
smartphones, smartwatches, vehicle location trackers, etc. However, data mining and …
Explanations for dynamic Bayesian networks: a case study in climate science
E Valero Leal - 2022 - oa.upm.es
Although artificial intelligence (AI) is a field that has been subject to research for decades,
recently a large number of models with high computational power have emerged. However …
recently a large number of models with high computational power have emerged. However …
Service selection based on dynamic QoS networks
Due to the popularity of web services, similar services yet with different service-level
characteristics are commonly available. How to consume these services intelligently has …
characteristics are commonly available. How to consume these services intelligently has …