• 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...
  • AIS-BN

  • 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 situation-specific 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, Object-oriented 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...
  • WEBWEAVR-III

  • 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 multi-agent 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...
  • CTBN-RLE

  • Referenced in 5 articles [sw12961]
  • Continuous time Bayesian network reasoning and learning engine. We present a continuous time Bayesian network ... engine (CTBN-RLE). 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 beginners-oriented 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...
  • BAYES-NEAREST

  • 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...
  • Dlib-ml

  • Referenced in 8 articles [sw14413]
  • algorithms for performing inference in Bayesian networks and kernel-based 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...