Results 191 to 200 of about 1,255,138 (288)

Integer programming for learning directed acyclic graphs from nonidentifiable Gaussian models. [PDF]

Biometrika
Xu T, Taeb A, Küçükyavuz S, Shojaie A.   +3 more
europepmc   +1 more source

On the number and size of Markov equivalence classes of random directed acyclic graphs

In causal inference on directed acyclic graphs, the orientation of edges is in general only recovered up to Markov equivalence classes. We study Markov equivalence classes of uniformly random directed acyclic graphs.
Schmid, Dominik, Sly, Allan
core  

ReTrace: Interactive Visualizations for Reasoning Traces of Large Reasoning Models

Computer Graphics Forum, EarlyView.
Abstract Recent advances in Large Language Models have led to Large Reasoning Models, which produce step‐by‐step reasoning traces. Such traces may offer insight into how models think, improving explainability and clarifying the underlying process. These traces, however, are often verbose and complex, making them cognitively demanding to comprehend ...
L. Felder, J. Miller, M. Wallinger, S. G. Kobourov, C. Chen   +4 more
wiley   +1 more source

Constructing Directed Acyclic Graphs (DAGs) to Inform Tobacco Cessation Intervention Research: A Methodological Extension Using Evidence Synthesis. [PDF]

Healthcare (Basel)
Sultana S, Patel N, Inungu J.
europepmc   +1 more source

DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer. [PDF]

BMC Bioinformatics, 2022
Chowdhury S, Wang R, Yu Q, Huntoon CJ, Karnitz LM, Kaufmann SH, Gygi SP, Birrer MJ, Paulovich AG, Peng J, Wang P.   +10 more
europepmc   +1 more source

Survey on Visualization of Information Diffusion over Networks

Computer Graphics Forum, EarlyView.
Abstract Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium” network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision‐making as well as ...
T. Baumgartl, M. Sondag, V. Filipov, M. Tuscher, S. Rajendran, S. Miksch, D. Archambault, A. Arleo, T. von Landesberger   +8 more
wiley   +1 more source

Estimating Causal Effects of Third-Stage Management on Postpartum Haemorrhage in a Midwifery Context: An Evidence Synthesis Approach for Constructing Directed Acyclic Graphs. [PDF]

Paediatr Perinat Epidemiol
Hébert V, Oltean II, Muraca GM, Santesso N, Darling EK.   +4 more
europepmc   +1 more source

The Story(line) So Far: A Survey on Storyline Visualization

Computer Graphics Forum, EarlyView.
Abstract Storyline visualizations model narratives as temporal networks, using x‐monotone lines to represent entities and their interactions over time. This technique offers an intuitive way to reveal structural patterns over time, such as character co‐occurrence and narrative flow.
S. Di Bartolomeo, A. Dobler, V. Filipov, M. Nöllenburg, H. Ehlers   +4 more
wiley   +1 more source

Construction and Application of Directed Acyclic Graphs in Leading Medical Journals.

JAMA Netw Open
Deng G, Du J.
europepmc   +1 more source

On the current and future potential of simulations based on directed acyclic graphs. [PDF]

Glob Epidemiol
Breitling LP, Dragomir AD, Duan C, Luta G.   +3 more
europepmc   +1 more source