• darch

  • Referenced in 255 articles [sw11086]
  • deep belief nets : last visit: 01.08.2013). This package is for generating neural networks with many ... publications ”A fast learning algorithm for deep belief nets” (G. E. Hinton, S. Osindero ... Reducing the dimensionality of data with neural networks” (G. E. Hinton, R. R. Salakhutdinov). This...
  • HUGIN

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

  • Referenced in 20 articles [sw35867]
  • model, known as a belief network (BN), that has recently emerged as the basis...
  • BENEDICT

  • Referenced in 13 articles [sw35868]
  • hybrid methodology for learning belief networks: BENEDICT. Previous algorithms for the construction of belief networks...
  • Netica

  • Referenced in 15 articles [sw13961]
  • complete program for working with belief networks and influence diagrams. It has an intuitive...
  • RHugin

  • Referenced in 5 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...
  • IDEAL

  • Referenced in 2 articles [sw15668]
  • environment for creation and evaluation of belief networks and influence diagrams. IDEAL is primarily ... many of the latest developments in belief network and influence diagram evaluation in a unified...
  • DeepQA

  • Referenced in 1 article [sw15927]
  • single protein model quality with deep belief networks. Protein quality assessment (QA) by ranking ... assessment method DeepQA based on deep belief network that utilizes a number of selected features ... characteristics, and structural information. The deep belief network is trained on several large datasets consisting ... method. Our experiment demonstrate that deep belief network has better performance compared to Support Vector...
  • Elvira

  • Referenced in 2 articles [sw13962]
  • first stable version of Bayesian belief networks with discrete and continuous variables. The ELVIRA system...
  • BaRT

  • Referenced in 2 articles [sw01950]
  • Bayesian reasoning tool that makes belief networks and other probabilistic techniques available to knowledge engineers...
  • DeeBNet

  • Referenced in 1 article [sw21888]
  • DeeBNet (Deep Belief Networks) toolbox in MATLAB and Octave. Nowadays, this is very popular ... deep architectures in machine learning. Deep Belief Networks (DBNs) are deep architectures that use stack...
  • VFML

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

  • Referenced in 1 article [sw33823]
  • package BayesNetBP: Bayesian Network Belief Propagation. Belief propagation methods in Bayesian Networks to propagate evidence...
  • lcmix

  • Referenced in 1 article [sw32238]
  • which are special cases of Bayesian belief networks, to lists of data...
  • LncADeep

  • Referenced in 1 article [sw34142]
  • homology features into a deep belief network and constructs models targeting both full- and partial...
  • RISO

  • Referenced in 0 articles [sw05459]
  • implementation of heterogeneous, distributed belief networks in Java. A belief network is a probability model ... nodes live on different hosts, the belief network is said to be distributed. Messages ... passed via RMI. Many example belief networks and lengthy documents are included in the RISO...
  • i*

  • Referenced in 15 articles [sw04447]
  • Agents attribute intentional properties (such as goals, beliefs, abilities, commitments) to each other and reason ... rise to opportunities as well as vulnerabilities. Networks of dependencies are analyzed using a qualitative...
  • JavaBayes

  • Referenced in 3 articles [sw13963]
  • manipulation of beliefs in Artificial Intelligence. There have been implementations of Bayesian networks...
  • PULCinella

  • Referenced in 7 articles [sw29878]
  • general tool for propagating uncertainty in valuation networks. We present PULCinella ... moment, Pulcinella can propagate probabilities, belief functions, Boolean values, and possibilities. Moreover, Pulcinella allows...