A Bayesian nonparametric approach to modeling motion patterns
… 3, we showed that Bayesian nonparametric approaches to modeling motion patterns are …
of the model—we no longer need to specify which parameters are important. Moreover, the …
of the model—we no longer need to specify which parameters are important. Moreover, the …
A Nonparametric Bayesian Framework for Mobile Device Security and Location Based Services
NT Nguyen - 2013 - uh-ir.tdl.org
… For this reason, nonparametric classification approaches are desirable with unsupervised
… major nonparametric approaches. The first approach involves Bayesian graphical model, …
… major nonparametric approaches. The first approach involves Bayesian graphical model, …
Mobile agent trajectory prediction using Bayesian nonparametric reachability trees
… This model is the distribution over trajectories we expect for a mobility pattern. This model
is the distribution over trajectories we expect for a …
is the distribution over trajectories we expect for a …
Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling
… To address these problems, we propose BNPM: a Bayesian non-parametric model, to model
… Most work focuses on modeling mobility patterns of individuals or groups aiming at location …
… Most work focuses on modeling mobility patterns of individuals or groups aiming at location …
A Bayesian nonparametric modeling approach to settlement patterns of pastoralists population in Kenya
… also showed that settlements tended to cluster together in areas with high vegetation
cover and close to water sources, which is consistent with the mobility patterns of pastoralist …
cover and close to water sources, which is consistent with the mobility patterns of pastoralist …
Bayesian regionalization of urban mobility networks
S Morel-Balbi, A Kirkley - Physical Review Research, 2024 - APS
… As flows between spatial units need not be reciprocated, we model mobility networks as
directed networks. It is often the case that there is more than one person moving between the …
directed networks. It is often the case that there is more than one person moving between the …
Hierarchical Bayesian nonparametric approach to modeling and learning the wisdom of crowds of urban traffic route planning agents
… This paper presents a hierarchical Bayesian non-parametric approach to efficient and
scalable route prediction that can harness the wisdom of crowds of route planning agents by ag…
scalable route prediction that can harness the wisdom of crowds of route planning agents by ag…
Bayesian nonparametric inference for the overlap of daily animal activity patterns
G Núñez-Antonio, M Mendoza… - … and Ecological Statistics, 2018 - Springer
… In this article, we propose a Bayesian nonparametric approach which incorporates a well-defined
noninformative prior. We take advantage of the data structure to define such a prior in …
noninformative prior. We take advantage of the data structure to define such a prior in …
Utilization of markov model and non-parametric belief propagation for activity-based indoor mobility prediction in wireless networks
J Kolodziej, F Xhafa - 2011 International Conference on …, 2011 - ieeexplore.ieee.org
… The model derives an integrated view on mobility and network usage from a users real-world
activity and thereby obtains mobility patterns and service usage preferences in a natural …
activity and thereby obtains mobility patterns and service usage preferences in a natural …
Bayesian Nonparametric Dirichlet Process Mixture Modeling in Transportation Safety Studies
S Heydari - 2017 - uwspace.uwaterloo.ca
… This thesis introduces a class of flexible statistical models that are rooted in Bayesian
nonparametric literature based on Dirichlet process mixtures (Escobar and West, 1998; Walker et al…
nonparametric literature based on Dirichlet process mixtures (Escobar and West, 1998; Walker et al…