Results 51 to 60 of about 1,255,138 (288)

Structural Learning about Directed Acyclic Graphs from Multiple Databases

Abstract and Applied Analysis, 2012
We propose an approach for structural learning of directed acyclic graphs from multiple databases. We first learn a local structure from each database separately, and then we combine these local structures together to construct a global graph over all ...
Qiang Zhao
doaj   +1 more source

Random Generation of Directed Acyclic Graphs

Electronic 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, Dutour, Isabelle, Bousquet-Mélou, Mireille   +2 more
openaire   +3 more sources

Polyphenol‐Inspired Materials for Agricultural Applications

Advanced Materials, EarlyView.
This review outlines the use of polyphenol‐inspired materials for sustainable agriculture, highlighting their molecular design, interfacial assembly, structure–property relationships, and prospects toward precision agriculture, climate resilience, ecosystem protection, and circular bioeconomy strategies.
Haofu Liu, Omid Mazaheri, Zhixing Lin, Tianzheng Wang, Jingqu Chen, Yuang Gu, Xia Liang, Deli Chen, Frank Caruso   +8 more
wiley   +1 more source

Constructing Fair Destination-Oriented Directed Acyclic Graphs for Multipath Routing

Journal of Applied Mathematics, 2014
Extensive research in the field of telecommunications has been done on the techniques of multipath routing, as they offer many advantages over conventional single-path routing methods.
Katarzyna Kalinowska-Górska, Fernando Solano Donado   +1 more
doaj   +1 more source

Directed Acyclic Graphs With Prototypical Networks for Few-Shot Emotion Recognition in Conversation

IEEE Access, 2023
Emotion recognition in conversation is the task of recognizing the emotion in each utterance of a conversation, and it is an active field of study with various applications.
Yujin Kang, Yoon-Sik Cho
doaj   +1 more source

What Explains Racial Differences in Farm Succession Planning? Evidence From Decomposition and Counterfactual Analysis

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, Anna‐Liisa Ihuhwa, Armine Poghosyan   +2 more
wiley   +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, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Directed acyclic graphs and causal thinking in clinical risk prediction modeling

BMC Medical Research Methodology, 2020
Background In epidemiology, causal inference and prediction modeling methodologies have been historically distinct. Directed Acyclic Graphs (DAGs) are used to model a priori causal assumptions and inform variable selection strategies for causal questions.
Marco Piccininni, Stefan Konigorski, Jessica L. Rohmann, Tobias Kurth   +3 more
doaj   +1 more source

Algebras associated to acyclic directed graphs [PDF]

, 2009
We construct and study a class of algebras associated to generalized layered graphs, i.e. directed graphs with a ranking function on their vertices and edges.
Retakh, Vladimir, Wilson, Robert Lee
core   +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