
bnlearn
 Referenced in 45 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...

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...

ARACNE
 Referenced in 29 articles
[sw17200]
 methods, such as Relevance Networks and Bayesian Networks. Application to the deconvolution of genetic networks...

PRISM
 Referenced in 32 articles
[sw23359]
 formalisms, the hidden Markov model and Bayesian networks, are described by PRISM programs...

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...

deal
 Referenced in 16 articles
[sw05549]
 package deal: Learning Bayesian Networks with Mixed Variables. Bayesian networks with continuous and/or discrete variables...

SamIam
 Referenced in 14 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...

SPOOK
 Referenced in 11 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 14 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 6 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 18 articles
[sw07844]
 assumes familiarity with the methodology of Bayesian belief networks and (limited memory) inﬂuence diagrams (LIMIDs...

gRain
 Referenced in 10 articles
[sw08268]
 known as probabilistic expert systems or Bayesian networks...

epinet
 Referenced in 11 articles
[sw24733]
 Simulates transmission of diseases through contact networks. Performs Bayesian inference on network and epidemic parameters...

CTBNRLE
 Referenced in 5 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...

GeNIe
 Referenced in 5 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...

BAYESNEAREST
 Referenced in 4 articles
[sw02847]
 NEAREST: a new hybrid classifier combining Bayesian network and distance based algorithms. This paper presents ... classifier that combines the probability based Bayesian Network paradigm with the Nearest Neighbor distance based ... algorithm. The Bayesian Network structure is obtained from the data by using the K2 structural ... used in combination with the Bayesian Network in the deduction phase. For those data bases...

VIBES
 Referenced in 8 articles
[sw15439]
 performed automatically on a Bayesian network (if the terms in italics don’t mean anything...

Dlibml
 Referenced in 8 articles
[sw14413]
 algorithms for performing inference in Bayesian networks and kernelbased methods for classification, regression, clustering...

GOBNILP
 Referenced in 5 articles
[sw29883]
 GOBNILP (Globally Optimal Bayesian Network learning using Integer Linear Programming) is a C program which ... learns Bayesian networks from complete discrete data or from local scores. GOBNILP uses the SCIP...