• MATEDA

  • Referenced in 5 articles [sw07769]
  • based on undirected graphical models and Bayesian networks. The implementation is conceived for allowing...
  • SketchREAD

  • Referenced in 5 articles [sw17612]
  • novel form of dynamically constructed Bayesian networks to evaluate these interpretations. This process allows...
  • bnclassify

  • Referenced in 3 articles [sw27791]
  • package bnclassify: Learning Discrete Bayesian Network Classifiers from Data. State-of-the art algorithms ... learning discrete Bayesian network classifiers from data, including a number of those described in Bielza...
  • abn

  • Referenced in 2 articles [sw31036]
  • Modelling Multivariate Data with Additive Bayesian Networks. Bayesian network analysis is a form of probabilistic ... structure between random variables. An additive Bayesian network model consists of a form ... generalized linear model, GLM. Additive Bayesian network models are equivalent to Bayesian multivariate regression using ... provides routines to help determine optimal Bayesian network models for a given data set, where...
  • CGBayesNets

  • Referenced in 3 articles [sw24664]
  • CGBayesNets: Conditional Gaussian Bayesian network learning and inference with mixed discrete and continuous data. CGBayesNets ... builds and predicts with conditional Gaussian Bayesian networks (CGBNs), enabling biological researchers to infer predictive...
  • Matilda

  • Referenced in 2 articles [sw01305]
  • visual tool for modeling with Bayesian networks. A Bayesian Network (BN) consists of a qualitative...
  • BNArray

  • Referenced in 2 articles [sw30810]
  • networks from microarray data by using Bayesian network. BNArray is a systemized tool developed ... from DNA microarray data by using Bayesian network. Significant submodules of regulatory networks with high...
  • rbmn

  • Referenced in 2 articles [sw10196]
  • rbmn: Handling Linear Gaussian Bayesian Networks: Creation, manipulation, simulation of linear Gaussian Bayesian networks from...
  • OpenMarkov

  • Referenced in 2 articles [sw14326]
  • several types of PGMs, such as Bayesian networks, influence diagrams, factored Markov models, etc.; learning ... Bayesian networks from data interactively; cost-effectiveness analysis...
  • extended_rmcv.m

  • Referenced in 2 articles [sw34281]
  • learning the structure of a Bayesian network classifier. Although recent studies have shown that ... Bayesian network classifier (BNC) that maximizes the classification accuracy (i.e., minimizes the 0/1 loss function...
  • 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...
  • sparsebn

  • Referenced in 2 articles [sw21046]
  • Learning Large-Scale Bayesian Networks with the sparsebn Package. Learning graphical models from data ... graphical models with a focus on Bayesian networks. While there are many existing packages...
  • NetQuest

  • Referenced in 5 articles [sw13969]
  • flexible framework for large-scale network measurement. We apply Bayesian experimental design to select active ... amount of information we gain about the network path properties subject to given resource constraints ... these measurements. By casting network measurement in a general Bayesian decision theoretic framework, we achieve ... better resolution to certain parts of the network; ii) augmented design for conducting additional measurements...
  • MSBNx

  • Referenced in 3 articles [sw13965]
  • application for creating, assessing, and evaluating Bayesian Networks, created at Microsoft Research...
  • Mocapy++

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

  • Referenced in 3 articles [sw29880]
  • form of graphical models, Bayesian networks, or factor graphs, and performs inference (by automatically deriving...
  • Libra

  • Referenced in 3 articles [sw14324]
  • inference with discrete probabilistic models, including Bayesian networks, Markov networks, dependency networks, and sum-product...
  • ARTMAP

  • Referenced in 7 articles [sw03013]
  • fuzzy ARTMAP (FA) neural network (NN) using the Bayesian framework in order to improve...
  • Elvira

  • Referenced in 2 articles [sw13962]
  • obtain our first stable version of Bayesian belief networks with discrete and continuous variables ... operating system. Current version support Bayesian Networks and Influence Diagrams with discrete variables. It have...
  • bayesvl

  • Referenced in 1 article [sw39027]
  • Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with ’Stan’. Provides users ... pedagogical purposes in visually learning Bayesian networks and Markov chain Monte Carlo (MCMC) computations ... examine the (starting) graphical structure of Bayesian networks; b) Create random Bayesian networks using ... Generate ’Stan’ code for structures of Bayesian networks for sampling the data and learning parameters...