
AISBN
 Referenced in 25 articles
[sw02223]
 importance sampling algorithm for evidential reasoning in large Bayesian networks Stochastic sampling algorithms, while ... large Bayesian network models, have been observed to perform poorly in evidential reasoning with extremely ... dimensional integrals and the structural advantages of Bayesian networks, (2) a smooth learning method...

SamIam
 Referenced in 16 articles
[sw29886]
 comprehensive tool for modeling and reasoning with Bayesian networks, developed in Java by the Automated ... interface and a reasoning engine. The graphical interface lets users develop Bayesian network models...

CTBNRLE
 Referenced in 5 articles
[sw12961]
 Continuous time Bayesian network reasoning and learning engine. We present a continuous time Bayesian network ... reasoning and learning engine (CTBNRLE). A continuous time Bayesian network (CTBN) provides a compact...

BaRT
 Referenced in 2 articles
[sw01950]
 BaRT: A Bayesian reasoning tool for knowlegde based systems. The paper describes BaRT, a Bayesian ... reasoning tool that makes belief networks and other probabilistic techniques available to knowledge engineers building ... representations: Bayesian networks, influence diagrams, and taxonomic hierachies, and a method for default reasoning...

MaLARea
 Referenced in 43 articles
[sw10278]
 simple metasystem iteratively combining deductive Automated Reasoning tools (now the E and the SPASS ... SNoW system used in the naive Bayesian learning mode). Its intended use is in large...

PRISM
 Referenced in 34 articles
[sw23359]
 knowledge representation language appropriate for probabilistic reasoning, it can describe various types of symbolicstatistical ... modeling formalisms, the hidden Markov model and Bayesian networks, are described by PRISM programs...

BayesNetBP
 Referenced in 1 article
[sw33823]
 Local Propagation in Conditional Gaussian Bayesian Networks . For details please ... BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks . The optional...

mi
 Referenced in 26 articles
[sw10551]
 inside the imputation process and evaluate the reasonableness of the resulting models and imputations. These ... imputed data. In addition, we use Bayesian models and weakly informative prior distributions to construct...

FINDS
 Referenced in 1 article
[sw19034]
 assessment and assessment involves uncertain reasoning through a Bayesian network for fibre transfer, persistence...

JavaBayes
 Referenced in 3 articles
[sw13963]
 JavaBayes is the first full implementation of Bayesian networks in Java. A Java implementation ... people that are interested in using reasoning in networkbased applications. Suppose ... reason about uncertainty in the domain of interest. A compact implementation of Bayesian networks...

BioEM
 Referenced in 1 article
[sw16813]
 thus enabling Bayesian analysis of tens of thousands of images in a reasonable time...

SUN
 Referenced in 13 articles
[sw28156]
 directing attention. The resulting model is a Bayesian framework from which bottomup saliency emerges ... collection of natural images. For this reason, we call our model SUN (Saliency Using Natural...

CMfinder
 Referenced in 6 articles
[sw17265]
 effective search of motif space, and a Bayesian framework that blends mutual informationbased ... sequence and/or completely unrelated sequences, and is reasonably fast and scalable. In testing...

KReator
 Referenced in 3 articles
[sw06946]
 common and simple interface for representing, reasoning and learning with different relational probabilistic approaches ... statistical relational learning. Currently, KReator implements Bayesian logic programs, Markov logic networks and relational maximum...

BARTBMA
 Referenced in 2 articles
[sw23498]
 BART called BARTBMA, which uses Bayesian model averaging and a greedy search algorithm ... BARTBMA can be run in a reasonable time on a standard laptop...

BCBCSF
 Referenced in 1 article
[sw07436]
 Biascorrected hierarchical Bayesian classification with a selected subset of highdimensional features Class prediction ... disease (e.g., cancer). For computational and other reasons, it is necessary to select a subset ... this article we develop a hierarchical Bayesian classification method that can correct for this feature...

fastSTRUCTURE
 Referenced in 2 articles
[sw25207]
 underlying the STRUCTURE program using a variational Bayesian framework. Variational methods pose the problem ... scores for choosing model complexity provide a reasonable range of values for the number...

CaliBayes
 Referenced in 1 article
[sw27254]
 approaches to computation and analysis. For these reasons, we have developed the BASIS system ... SBML models. It uses a sequential Bayesian MCMC method, which is powerful and flexible, providing...

Maple
 Referenced in 5040 articles
[sw00545]
 The result of over 30 years of cutting...

MapReduce
 Referenced in 250 articles
[sw00546]
 MapReduce is a new parallel programming model initially...