
CECM
 Referenced in 11 articles
[sw06446]
 objects to clusters is described by belief functions. A variant of the Evidential Cmeans ... 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...

2CoBel
 Referenced in 2 articles
[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 polygonbased 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...

GroupKit
 Referenced in 24 articles
[sw10570]
 belief that programming groupware should be only slightly harder than building functionally similar singleuser...

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 MonteCarlo 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, linearvacuous mixtures, probability measures, nmonotone...

BFT
 Referenced in 1 article
[sw28237]
 Belief Functions Theory library. Belief functions theory (DempsterShafer theory) implementation...

RHugin
 Referenced in 6 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 32 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...

SparseCount2
 Referenced in 1 article
[sw41091]
 XORs as hash functions. Such constructions have been proposed with beliefs to provide runtime performance ... contradiction to prior beliefs of applicability of analysis for sparse hash functions ... algorithm called (mathsf{SparseCount2}) using sparse hash functions, which achieves at least ... improvement over its predecessor. Contradicting the current beliefs, we observe that (mathsf{SparseCount2}) still falls...

ApproxMC3
 Referenced in 1 article
[sw41092]
 XORs as hash functions. Such constructions have been proposed with beliefs to provide runtime performance ... contradiction to prior beliefs of applicability of analysis for sparse hash functions ... algorithm called (mathsf{SparseCount2}) using sparse hash functions, which achieves at least ... improvement over its predecessor. Contradicting the current beliefs, we observe that (mathsf{SparseCount2}) still falls...

bgmm
 Referenced in 5 articles
[sw19104]
 beliefbased 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 partiallength transcripts. For functional annotation...

BayesNetBP
 Referenced in 3 articles
[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...

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...

DESPOT
 Referenced in 6 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...