• MIM

  • Referenced in 133 articles [sw26139]
  • describes the use of directed graphs, chain graphs, and other graphs. Chapter 8 summarizes some...
  • SALBPGen

  • Referenced in 24 articles [sw14513]
  • industries, typical substructures of the precedence graph like chains, bottlenecks and modules can be generated ... required based on a detailed analysis of graph structures and structure measures like the order...
  • ceg

  • Referenced in 1 article [sw32871]
  • package ceg: Chain Event Graph. Create and learn Chain Event Graph (CEG) models using ... vertex, edge and graph attributes. A Chain Event Graph is a tree-based graphical model ... Collazo R, Gorgen C, Smith J. Chain Event Graph. CRC Press, ISBN 9781498729604, 2018 (forthcoming ... Thwaites PA, Nicholson AE. The Dynamic Chain Event Graph. Electronic Journal of Statistics...
  • INGRID

  • Referenced in 16 articles [sw01071]
  • graph theory, is described. It is a partial commutative rule-based system using forward chaining ... user interface provided by INGRID, even a graph theory novice can often discern properties...
  • BDgraph

  • Referenced in 18 articles [sw14815]
  • absence of edges in the underlying graph. In this paper, we introduce a novel ... determination which is a trans-dimensional Markov Chain Monte Carlo (MCMC) approach based ... implement and computationally feasible for high-dimensional graphs. We show our method outperforms alternative Bayesian...
  • PyGModels

  • Referenced in 1 article [sw38510]
  • test inference algorithms that are rooted in graph theory or statistics. PyGModels also implements several ... interest on Lauritzen-Wermuth-Frydenberg (LWF) chain graphs, also known as mixed graphs...
  • CARlasso

  • Referenced in 1 article [sw39712]
  • available R package to fit a chain graph model for the inference of sparse microbial...
  • 2D-MH

  • Referenced in 21 articles [sw19727]
  • scale analysis. Here, a new two-dimensional graph, called “2D-MH”, is proposed to represent ... incorporating the information of the side-chain mass of each of the constituent amino acids ... easily generate the two-dimensional graphs for any number of protein sequences and compare...
  • BruijnViz

  • Referenced in 1 article [sw37124]
  • intended for researching properties of unlimited word chains. All the subwords of length (n) taken ... symbol sequence are depicted on de Bruijn graph. The graph of subwords is named ... graph-portraits of a word chain constructed for (n=1,2,3,dots) characterizes ... package represents each graph-portrait of a word chain during its growth. The graph-portraits...
  • SCWRL4

  • Referenced in 7 articles [sw22393]
  • Improved prediction of protein side-chain conformations with SCWRL4. SCWRL4 is based ... parameters by determining the interaction graph within the crystal environment using symmetry operators ... function of electron density of the side chains demonstrate that side chains with higher electron ... positions. Among side chains with higher electron density (25th-100th percentile), these numbers rise...
  • bcp

  • Referenced in 10 articles [sw14696]
  • Chain Monte Carlo. It also extends the methodology to regression models on a connected graph...
  • Kieker

  • Referenced in 2 articles [sw01310]
  • Sequence Diagrams, Markov chains, Component Dependency Graphs, Trace Timing Diagrams, as well as Execution...
  • bayesvl

  • Referenced in 1 article [sw39027]
  • visually learning Bayesian networks and Markov chain Monte Carlo (MCMC) computations. It enables users ... parameters; d) Plot the network graphs; e) Perform Markov chain Monte Carlo computations and produce...
  • SAPA

  • Referenced in 17 articles [sw20683]
  • SAPA is a domain-independent heuristic forward chaining planner that can handle durative actions, metric ... planning. Our technical contributions include (i) planning-graph based methods for deriving heuristics that...
  • btergm

  • Referenced in 4 articles [sw24452]
  • Graph Models (TERGM) estimated by maximum pseudolikelihood with bootstrapped confidence intervals or Markov Chain Monte...
  • Grapham

  • Referenced in 5 articles [sw08541]
  • walk Metropolis algorithms. Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied ... emphasis on graphical models for directed acyclic graphs. The implemented algorithms include the seminal Adaptive ... covariance according to the history of the chain and a Metropolis algorithm adjusting the proposal...
  • PTTP+GLiDeS

  • Referenced in 2 articles [sw30126]
  • chain format linear deduction system based on Graph Construction. Of these, CLIN-S and SGLD...
  • ROSE

  • Referenced in 4 articles [sw04891]
  • call graph analysis, control flow analysis, data flow analysis (live variables, def-use chain, reaching...
  • MENTA

  • Referenced in 3 articles [sw27334]
  • relationships, graph partitioning to form consistent equivalence classes of entities, and a Markov chain-based...
  • BITE

  • Referenced in 7 articles [sw13222]
  • data are stored into text files. Markov chain Monte Carlo methods are used for numerical ... expectations of functionals of parameters, or (iii) graphs (created with Splus or R software packages...