Results 51 to 60 of about 1,480,544 (205)

gems: An R Package for Simulating from Disease Progression Models

open access: yesJournal of Statistical Software, 2015
Mathematical models of disease progression predict disease outcomes and are useful epidemiological tools for planners and evaluators of health interventions.
Nello Blaser   +7 more
doaj   +1 more source

Random Generation of Directed Acyclic Graphs

open access: yesElectronic Notes in Discrete Mathematics, 2001
Abstract Abstract We propose a simple algorithm based on a Markov chain for generating acyclic digraphs with a given number of vertices uniformly at random. In addition, standard combinatorial techniques allow us to describe the overall shape and average edge density of an acyclic digraph.
Melançon, Guy   +2 more
openaire   +3 more sources

How to Layer a Directed Acyclic Graph

open access: yes, 2002
We consider the problem of partitioning a directed acyclic graph into layers such that all edges point unidirectionally. We perform an experimental analysis of some of the existing layering algorithms and then propose a new algorithm that is more ...
Healy, Patrick   +3 more
core   +1 more source

Point treatment directed acyclic graph for exposure with effect modification.

open access: yes, 2020
Point treatment directed acyclic graph for exposure with effect modification.
Stephanie A. Kovalchik (8727141)
core   +1 more source

Directed acyclic graph considered for the selection of confounding variables in the regression models.

open access: yes, 2023
Directed acyclic graph considered for the selection of confounding variables in the regression models.
Fernando Ruiz-Gómez (16954454)   +5 more
core   +1 more source

Directed acyclic graph (DAG) of factors that influence healthcare-seeking for tuberculosis.

open access: yes, 2023
Directed acyclic graph (DAG) of factors that influence healthcare-seeking for tuberculosis.
Katerina A. Christopoulos (12335754)   +10 more
core   +1 more source

An efficient algorithm for computing interventional distributions in latent variable causal models

open access: yes, 2011
Probabilistic inference in graphical models is the task of computing marginal and conditional densities of interest from a factorized representation of a joint probability distribution.
Richardson, Thomas S.   +2 more
core   +1 more source

Data structures of genome and protein sequences indexing

open access: yesIranian Journal of Information Processing & Management, 2016
Data structure is a tool for storage and retrieval of information which is named logic and mathematic way of specific data organization. various sequences of genes and proteins in various creatures increases the amount of data in genome databases, and ...
Adeleh asadi
doaj  

Multi-scale features for heartbeat classification using directed acyclic graph CNN

open access: yesApplied Artificial Intelligence, 2018
A new architecture of deep neural networks, directed acyclic graph convolutional neural networks (DAG-CNNs), is used to classify heartbeats from electrocardiogram (ECG) signals into different subject-based classes.
Zahra Golrizkhatami   +2 more
doaj   +1 more source

Topological Decomposition of Directed Graphs

open access: yesJournal of Graph Algorithms and Applications, 2017
The analysis of directed graphs is important in application areas like software engineering, bioinformatics, or project management. Distinguishing between topological structures such as cyclic and hierarchical subgraphs provides the analyst with ...
Ala Abuthawabeh, Dirk Zeckzer
doaj   +1 more source

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