• AIS-BN

  • 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...
  • CTBN-RLE

  • Referenced in 5 articles [sw12961]
  • Continuous time Bayesian network reasoning and learning engine. We present a continuous time Bayesian network ... reasoning and learning engine (CTBN-RLE). 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 40 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 29 articles [sw23359]
  • knowledge representation language appropriate for probabilistic reasoning, it can describe various types of symbolic-statistical ... modeling formalisms, the hidden Markov model and Bayesian networks, are described by PRISM programs...
  • FINDS

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

  • Referenced in 20 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...
  • 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 network-based 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...
  • 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...
  • CMfinder

  • Referenced in 5 articles [sw17265]
  • effective search of motif space, and a Bayesian framework that blends mutual information-based ... sequence and/or completely unrelated sequences, and is reasonably fast and scalable. In testing...
  • SUN

  • Referenced in 7 articles [sw28156]
  • directing attention. The resulting model is a Bayesian framework from which bottom-up saliency emerges ... collection of natural images. For this reason, we call our model SUN (Saliency Using Natural...
  • BCBCSF

  • Referenced in 1 article [sw07436]
  • Bias-corrected hierarchical Bayesian classification with a selected subset of high-dimensional 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...
  • BART-BMA

  • Referenced in 1 article [sw23498]
  • BART called BART-BMA, which uses Bayesian model averaging and a greedy search algorithm ... BART-BMA can be run in a reasonable time on a standard laptop...
  • 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 4652 articles [sw00545]
  • The result of over 30 years of cutting...
  • MapReduce

  • Referenced in 205 articles [sw00546]
  • MapReduce is a new parallel programming model initially...
  • Mathematica

  • Referenced in 5138 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 10027 articles [sw00558]
  • MATLAB® is a high-level language and interactive...