
Radyban
 Referenced in 7 articles
[sw12543]
 dynamic fault trees through conversion into dynamic Bayesian networks. In this paper, we present Radyban ... Reliability Analysis with DYnamic BAyesian Networks), a software tool which allows to analyze a dynamic ... relying on its conversion into a dynamic Bayesian network. The tool implements a modular algorithm ... dynamic fault tree into the corresponding dynamic Bayesian network and exploits classical algorithms...

WEBWEAVRIII
 Referenced in 8 articles
[sw05619]
 Bayesian networks, inference in standard and dynamic Bayesian networks and decomposable Markov networks, the construction...

ebdbNet
 Referenced in 4 articles
[sw11222]
 ebdbNet: Empirical Bayes Estimation of Dynamic Bayesian Networks. This package is used to infer ... empirical Bayes estimation procedure based on Dynamic Bayesian Networks...

G1DBN
 Referenced in 5 articles
[sw08269]
 G1DBN: A package performing Dynamic Bayesian Network inference. G1DBN performs DBN inference using 1st order...

GlobalMIT
 Referenced in 3 articles
[sw38463]
 GlobalMIT: learning globally optimal dynamic bayesian network with the mutual information test criterion. Motivation: Dynamic...

AISBN
 Referenced in 25 articles
[sw02223]
 Bayesian networks, (2) a smooth learning method for the importance function, and (3) a dynamic ... tests three large real Bayesian network models available to the scientific community: the CPCS network...

Mocapy++
 Referenced in 3 articles
[sw29879]
 Mocapy++ is a Dynamic Bayesian Network toolkit, implemented in C++. It supports discrete, multinomial, Gaussian...

SketchREAD
 Referenced in 5 articles
[sw17612]
 uses a novel form of dynamically constructed Bayesian networks to evaluate these interpretations. This process...

tsBNgen
 Referenced in 1 article
[sw35076]
 Time Series Data from an Arbitrary Dynamic Bayesian Network Structure. Synthetic data is widely used ... confidential and cannot be shared. Bayesian networks are a type of probabilistic graphical model widely ... uncertainties in realworld processes. Dynamic Bayesian networks are a special class of Bayesian networks ... sequential data based on an arbitrary dynamic Bayesian network. The package, documentation, and examples...

Banjo
 Referenced in 2 articles
[sw08079]
 Banjo: Bayesian Network Inference with Java Objects. Banjo is a software application and framework ... structure learning of static and dynamic Bayesian networks, developed under the direction of Alexander...

EDISON
 Referenced in 2 articles
[sw08266]
 using a nonhomogeneous, timevarying dynamic Bayesian network. Networks segments and changepoints are inferred...

BiDAG
 Referenced in 2 articles
[sw31037]
 also applicable to structure learning of dynamic Bayesian networks. References: J. Kuipers, P. Suter...

BFL
 Referenced in 1 article
[sw15150]
 application independent framework for inference in Dynamic Bayesian Networks, i.e., recursive information processing and estimation ... application independent framework for inference in Dynamic Bayesian Networks, i.e., recursive information processing and estimation ... used for estimation in Kinematics & Dynamics applications...

DBNet
 Referenced in 1 article
[sw12552]
 convert dynamic fault trees into dynamic Bayesian networks...

neuraltangents
 Referenced in 5 articles
[sw39529]
 limit. Infinitewidth networks can be trained analytically using exact Bayesian inference or using gradient ... study gradient descent training dynamics of wide but finite networks in either function space...

SparseTSCGM
 Referenced in 1 article
[sw15374]
 instantaneous interactions) and Bayesian networks (directed graphs for dynamic interactions) for reconstructing instantaneous and dynamic...

COBAYN
 Referenced in 1 article
[sw28818]
 proposes COBAYN: Compiler autotuning framework using BAYesian Networks, an approach for a compiler autotuning methodology ... application characterization done dynamically by using independent microarchitecture features and Bayesian networks. The article also...

Data2Dynamics
 Referenced in 12 articles
[sw25272]
 approach are to construct dynamical models of biochemical reaction networks for large datasets and complex ... estimation algorithms as well as frequentist and Bayesian methods for uncertainty analysis have been implemented...

SloppyCell
 Referenced in 3 articles
[sw13614]
 level 2 version 3; deterministic and stochastic dynamical simulations; sensitivity analysis without finitedifference derviatives ... simulation of multiple related networks sharing common parameters; stochastic Bayesian analysis of parameter space...

NETWORKINFERENCE
 Referenced in 7 articles
[sw06744]
 Bayesian network inference algorithm, NETWORKINFERENCE, to recover gene regulatory networks. NETWORKINFERENCE performed well at recovering ... through the network but not so long such that intervals missed infernal dynamics. These results...