
bnlearn
 Referenced in 80 articles
[sw08265]
 package bnlearn: Bayesian network structure learning, parameter learning and inference. Bayesian network structure learning, parameter ... learning algorithms for both discrete and Gaussian networks, along with many score functions and conditional ... support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries and cross...

ARACNE
 Referenced in 39 articles
[sw17200]
 methods, such as Relevance Networks and Bayesian Networks. Application to the deconvolution of genetic networks...

AISBN
 Referenced in 25 articles
[sw02223]
 algorithm for evidential reasoning in large Bayesian networks Stochastic sampling algorithms, while an attractive alternative ... exact algorithms in very large Bayesian network models, have been observed to perform poorly ... integrals and the structural advantages of Bayesian networks, (2) a smooth learning method ... tests three large real Bayesian network models available to the scientific community: the CPCS network...

PRISM
 Referenced in 39 articles
[sw23359]
 formalisms, the hidden Markov model and Bayesian networks, are described by PRISM programs...

deal
 Referenced in 20 articles
[sw05549]
 package deal: Learning Bayesian Networks with Mixed Variables. Bayesian networks with continuous and/or discrete variables...

SamIam
 Referenced in 18 articles
[sw29886]
 tool for modeling and reasoning with Bayesian networks, developed in Java by the Automated Reasoning ... graphical interface lets users develop Bayesian network models and save them in a variety...

MEBN
 Referenced in 15 articles
[sw02784]
 Bayesian probability theory. MEBN extends ordinary Bayesian networks to allow representation of graphical models with ... encoded as a collection of Bayesian network fragments (MFrags) that can be instantiated and combined ... form highly complex situationspecific Bayesian networks. A MEBN theory (MTheory) implicitly represents a joint ... possibly unbounded numbers of hypotheses, and uses Bayesian learning to refine a knowledge base...

DirectLiNGAM
 Referenced in 23 articles
[sw15504]
 Equation Model. Structural equation models and Bayesian networks have been widely used to analyze causal...

ToulBar2
 Referenced in 22 articles
[sw07289]
 Graphical Models such as Cost Function Networks, Markov Random Fields, Weighted Constraint Satisfaction Problems, Weighted ... Quadratic PseudoBoolean Optimization, and Bayesian Networks...

gRain
 Referenced in 18 articles
[sw08268]
 known as probabilistic expert systems or Bayesian networks...

SPOOK
 Referenced in 13 articles
[sw12539]
 pointed out the limitations of standard Bayesian networks as a modeling framework for large, complex ... richly structured modeling language, Objectoriented Bayesian Networks, that we argued would be able...

LibDAI
 Referenced in 15 articles
[sw06422]
 variables. libDAI supports directed graphical models (Bayesian networks) as well as undirected ones (Markov random...

WEBWEAVRIII
 Referenced in 8 articles
[sw05619]
 toolkit that supports the construction of Bayesian networks, inference in standard and dynamic Bayesian networks ... construction and verification of multiply sectioned Bayesian networks (MSBNs), inference in multiagent MSBNs...

Radyban
 Referenced in 7 articles
[sw12543]
 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 fault ... conversion into a dynamic Bayesian network. The tool implements a modular algorithm for automatically translating ... fault tree into the corresponding dynamic Bayesian network and exploits classical algorithms for the inference...

HUGIN
 Referenced in 21 articles
[sw07844]
 assumes familiarity with the methodology of Bayesian belief networks and (limited memory) inﬂuence diagrams (LIMIDs...

epinet
 Referenced in 14 articles
[sw24733]
 Simulates transmission of diseases through contact networks. Performs Bayesian inference on network and epidemic parameters...

Dlibml
 Referenced in 12 articles
[sw14413]
 algorithms for performing inference in Bayesian networks and kernelbased methods for classification, regression, clustering...

GeNIe
 Referenced in 7 articles
[sw13964]
 modeling environment implementing influence diagrams and Bayesian networks, developed at the Decision Systems Laboratory, University ... that includes beginnersoriented tutorials for Bayesian networks, influence diagrams, and basic decision analytic techniques ... site. The package includes several large Bayesian network and influence diagrams models, useful in teaching...

RAIcode
 Referenced in 8 articles
[sw34283]
 Bayesian network structure learning by recursive autonomy identification. We propose the recursive autonomy identification ... algorithm for constraintbased (CB) Bayesian network structure learning. The RAI algorithm learns the structure...

CTBNRLE
 Referenced in 6 articles
[sw12961]
 Continuous time Bayesian network reasoning and learning engine. We present a continuous time Bayesian network ... engine (CTBNRLE). A continuous time Bayesian network (CTBN) provides a compact (factored) description...