• CECM

  • Referenced in 8 articles [sw06446]
  • objects to clusters is described by belief functions. A variant of the Evidential C-means ... These constraints are translated into the belief function framework and integrated in the cost function...
  • PULCinella

  • Referenced in 7 articles [sw29878]
  • moment, Pulcinella can propagate probabilities, belief functions, Boolean values, and possibilities. Moreover, Pulcinella allows...
  • GroupKit

  • Referenced in 24 articles [sw10570]
  • belief that programming groupware should be only slightly harder than building functionally similar single-user...
  • Belief

  • Referenced in 1 article [sw14242]
  • BELIEF: Graphical Belief Function Models and Graphical Probabilistic Models. BELIEF is a Common Lisp implementation ... fusion and propagation algorithm for Graphical Belief Function Models and the Lauritzen and Spiegelhalter algorithm ... subset of Influence Diagrams) using both belief functions and probabilities as basic representations of uncertainty ... supports both probability distributions and belief functions. It also has limited support for second order...
  • py_dempster_shafer

  • Referenced in 1 article [sw28238]
  • normalized as well as unnormalized belief functions Different Monte-Carlo algorithms for combining belief functions ... Measures of uncertainty Methods for constructing belief functions from data...
  • BeliefFunctions

  • Referenced in 1 article [sw28239]
  • Matlab toolbox for belief functions. Easy to test (see test.m). All element of the power ... transform. Matlab toolbox for a general belief functions framework. Easy to test (see test.m). Only ... reference: A. Martin, “Implementing general belief function framework with a practical codification for low complexity...
  • improb

  • Referenced in 2 articles [sw16421]
  • arbitrary finitely generated conditional lower previsions, belief functions, linear-vacuous mixtures, probability measures, n-monotone...
  • BFT

  • Referenced in 1 article [sw28237]
  • Belief Functions Theory library. Belief functions theory (Dempster-Shafer theory) implementation...
  • 2CoBel

  • Referenced in 1 article [sw28236]
  • 2CoBel: a scalable belief function representation for 2D discernment frames. This paper introduces an innovative ... handling 2D compound hypotheses within the Belief Function framework. We propose a polygon-based generic ... cardinality of the discernment frame. For belief combination, canonical decomposition and decision making, we propose ... proposed graph representation. An implementation of the functionalities proposed in this paper is provided...
  • RHugin

  • Referenced in 5 articles [sw16347]
  • from Bayesian belief networks. The RHugin package provides a suite of functions allowing ... thus be used to build Bayesian belief networks, enter and propagate evidence, and to retrieve ... beliefs. Additionally, the RHugin package can read and write hkb and NET files, making ... required for the RHugin package to function, hence the target audience for the package...
  • ibelief

  • Referenced in 0 articles [sw15406]
  • package ibelief: Belief Function Implementation. Some basic functions to implement belief functions including: transformation between ... belief functions using the method introduced by Philippe Smets (arXiv:1304.1122 [cs.AI]), evidence combination, evidence ... types of random masses when working on belief combination and conflict management...
  • brms

  • Referenced in 21 articles [sw19099]
  • wide range of distributions and link functions are supported, allowing users to fit – among others ... apply prior distributions that actually reflect their beliefs. In addition, model fit can easily...
  • bgmm

  • Referenced in 5 articles [sw19104]
  • belief-based modeling are implemented. For completeness, we equipped the package also with the functionality...
  • SHELF

  • Referenced in 0 articles [sw16404]
  • calculated. Also includes functions for eliciting beliefs about population distributions...
  • LncADeep

  • Referenced in 1 article [sw34142]
  • present LncADeep, a novel lncRNA identification and functional annotation tool. For lncRNA identification, LncADeep integrates ... belief network and constructs models targeting both full- and partial-length transcripts. For functional annotation...
  • SUCRAGE

  • Referenced in 3 articles [sw12332]
  • Production rules whose conclusions are accompanied by belief degrees, are obtained by supervised learning from ... problem due to the manipulations of membership functions of fuzzy sets, we propose ... uncertainty of classification decisions represented by belief degrees, drives the approximate inference.par The proposed method...
  • BayesNetBP

  • Referenced in 1 article [sw33823]
  • package BayesNetBP: Bayesian Network Belief Propagation. Belief propagation methods in Bayesian Networks to propagate evidence ... example in the documentation of ’runBayesNetApp’ function for installing ’cyjShiny’ package from GitHub...
  • ibmcraftr

  • Referenced in 0 articles [sw16322]
  • timestep. Additional functions will follow for changing attributes on demographic, health belief and movement...
  • DESPOT

  • Referenced in 4 articles [sw27455]
  • DESPOT), a sparse approximation of the standard belief tree, for online planning under uncertainty ... policy that optimizes a regularized objective function. Regularization balances the estimated value of a policy...
  • JavaBayes

  • Referenced in 3 articles [sw13963]
  • tool for the representation and manipulation of beliefs in Artificial Intelligence. There have been implementations ... quickly prototype interfaces, and Java has functionality for multi-threaded processing, something that...