Results 61 to 70 of about 1,424,485 (296)
Directed acyclic graph (causal diagram).
, 2013 Directed acyclic graph (causal diagram).
Jayne Byakika-Tusiime (375445) +3 more
core +1 more source
Agribusiness, EarlyView.ABSTRACT This paper examines racial differences in farm succession planning using survey data from Tennessee farmers. While observed differences between White and Black farmers are small, decomposition and counterfactual analyses show that structural characteristics, particularly farm size, would predict higher succession planning among White farmers ...
Abdelaziz Lawani +2 more
wiley +1 more source
An efficient algorithm for computing interventional distributions in latent variable causal models
, 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
The Interoperability Challenge in DFT Workflows Across Implementations
Advanced Intelligent Discovery, EarlyView.Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Data structures of genome and protein sequences indexing
Iranian 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
Topological Decomposition of Directed Graphs
Journal 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
Brazilian Oral Research, 2023 The aim of the present study was to investigate predictors of malocclusion in Brazilian schoolchildren eight to ten years of age based on a causal directed acyclic graph model.
Gélica Lima GRANJA +6 more
doaj +1 more source
Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers
Advanced Intelligent Systems, EarlyView.A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley +1 more source
Multi-scale features for heartbeat classification using directed acyclic graph CNN
Applied 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
Directed acyclic graph showing study hypothesis with potential confounders.
, 2023 Directed acyclic graph showing study hypothesis with potential confounders.
Eunice Lobo (2577373) +4 more
core +1 more source