• PyHawkes

  • Referenced in 13 articles [sw26587]
  • implements a variety of Bayesian inference algorithms for discovering latent network structure given point process ... Hawkes processes) with random network models and performing Bayesian inference to discover the latent network...
  • catnet

  • Referenced in 6 articles [sw08170]
  • package catnet: Categorical Bayesian Network Inference. A package that handles discrete Bayesian network models...
  • 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...
  • BayesOWL

  • Referenced in 8 articles [sw36763]
  • reasoning with uncertainty based on Bayesian networks (BN) [26], and its application in ontology mapping ... reasoning, both within and across ontologies as Bayesian inferences. At the present time, BayesOWL...
  • 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...
  • NETWORKINFERENCE

  • Referenced in 7 articles [sw06744]
  • regime influence the ability of our Bayesian network inference algorithm, NETWORKINFERENCE, to recover gene regulatory...
  • bnsoft

  • Referenced in 7 articles [sw08127]
  • Software packages for graphical models/Bayesian networks. Graphical models (GMs) are a way to represent conditional ... directed acylic graphs (also called “Bayesian networks”) and on undirected graphs (also called “Markov random...
  • VIBES

  • Referenced in 7 articles [sw15439]
  • performed automatically on a Bayesian network (if the terms in italics don’t mean anything...
  • FactorBase

  • Referenced in 7 articles [sw38928]
  • MySQL server. Output: A Bayesian network that shows probabilistic dependencies between the relationships and attributes...
  • PSICOV

  • Referenced in 7 articles [sw17010]
  • performing normalized mutual information approach and Bayesian networks. For 118 out of 150 targets...
  • JavaBayes

  • Referenced in 3 articles [sw13963]
  • JavaBayes -- Bayesian networks in Java. Bayesian networks have been used as a fundamental tool ... Intelligence. There have been implementations of Bayesian networks in a variety of formats and languages ... JavaBayes is a system that handles Bayesian networks: it calculates marginal probabilities and expectations, produces ... first full implementation of Bayesian networks in Java. A Java implementation has several advantages. First...
  • BOHB

  • Referenced in 5 articles [sw35481]
  • hyperparameter optimization method, which consistently outperforms both Bayesian optimization and Hyperband on a wide range ... support vector machines, feed-forward neural networks, Bayesian neural networks, deep reinforcement learning, and convolutional...
  • RHugin

  • Referenced in 6 articles [sw16347]
  • building and making inference from Bayesian belief networks. The RHugin package provides a suite ... thus be used to build Bayesian belief networks, enter and propagate evidence, and to retrieve...
  • ebdbNet

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

  • Referenced in 4 articles [sw29260]
  • package bnstruct: Bayesian Network Structure Learning from Data with Missing Values. Bayesian Network Structure Learning...
  • MXM

  • Referenced in 6 articles [sw15369]
  • equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included...
  • VFML

  • Referenced in 6 articles [sw11967]
  • learning the structure belief nets (aka Bayesian networks), and for clustering. Much of this code...
  • BayesNetBP

  • Referenced in 3 articles [sw33823]
  • package BayesNetBP: Bayesian Network Belief Propagation. Belief propagation methods in Bayesian Networks to propagate evidence ... through the network. The implementation of these methods are based on the article: Cowell ... Local Propagation in Conditional Gaussian Bayesian Networks . For details please ... Package for Probabilistic Reasoning in Bayesian Networks . The optional ’cyjShiny’ package...
  • GlobalMIT

  • Referenced in 3 articles [sw38463]
  • GlobalMIT: learning globally optimal dynamic bayesian network with the mutual information test criterion. Motivation: Dynamic ... Bayesian networks (DBN) are widely applied in modeling various biological networks including the gene regulatory ... hard nature of learning static Bayesian network structure, most methods for learning DBN also employ...
  • G1DBN

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