Results 111 to 120 of about 1,033,557 (227)

Extending Information Retrieval Methods to Personalized Genomic-Based Studies of Disease

Cancer Informatics, 2014
Genomic-based studies of disease now involve diverse types of data collected on large groups of patients. A major challenge facing statistical scientists is how best to combine the data, extract important features, and comprehensively characterize the ...
Shuyun Ye, John A. Dawson, Christina Kendziorski   +2 more
doaj   +1 more source

The power of a stewardship mind: Reorienting organizations around the duty to care to better address grand challenges

International Journal of Management Reviews, EarlyView.
Abstract The present article presents an integrative review related to stewardship in all the business and management disciplines, from its initial development in 1980 to the present. Specifically, we applied a latent Dirichlet allocation‐based topic modelling analysis to almost 1200 articles, seeking to creatively synthesize the concept of stewardship
Debora Casoli, Marco Visentin, Annamaria Tuan, Giuseppe Cappiello   +3 more
wiley   +1 more source

Equity–Equality Tensions in Police Social Media Communication With Socially Disadvantaged Neighbourhoods: The Case of Instagram

Information Systems Journal, EarlyView.
ABSTRACT This study draws on Instagram‐related data to examine how and why the equity and equality principles of fairness govern police communication with socially disadvantaged neighbourhoods on social media. Using the computationally intensive theory construction methodology and drawing on institutional theory and the framework for the interplay of ...
Nataliya Berbyuk Lindström, Hamid Khobzi, Ofir Turel   +2 more
wiley   +1 more source

ldagibbs: A command for topic modeling in Stata using latent Dirichlet allocation [PDF]

In this article, I introduce the ldagibbs command, which implements latent Dirichlet allocation in Stata. Latent Dirichlet allocation is the most popular machine-learning topic model.
Schwarz, Carlo
core   +1 more source

Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray

, 2010
Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression ...
LOVATO, PIETRO, BICEGO, Manuele, PERINA, Alessandro, MURINO, Vittorio   +3 more
core   +1 more source

The Narrative Continent: Discursive Recognition and the EU's Technological Actorness

JCMS: Journal of Common Market Studies, EarlyView.
Abstract Recognition in global politics is not only earned through institutions or capabilities; it is narrated into being. This article investigates how the European Union (EU) is framed as a technological actor in global discourse, focusing on the symbolic dynamics of discursive recognition.
Mahmoud Javadi
wiley   +1 more source

Latent Dirichlet Allocation for Structured Insurance Data

Annals of Data Science
This article explores the application of Latent Dirichlet Allocation (LDA) to structured tabular insurance data. LDA is a probabilistic topic modelling approach initially developed in Natural Language Processing (NLP) to uncover the underlying structure of (unstructured) textual data. It was designed to represent textual documents as mixture of latent (
Charlotte Jamotton, Donatien Hainaut
openaire   +2 more sources

Green Bond Paper Topics, Journal Metrics and Post‐publication Diffusion

Journal of Economic Surveys, EarlyView.
ABSTRACT Green bonds are important financial instruments in sustainable finance, generating a rapidly expanding academic literature. This paper identifies the topics analyzed in green bond academic research and examines how these topics are associated with journal and post‐publication diffusion metrics. Using 1048 paper abstracts published between 2015
Paraic McGee, Tom Egan, Sheila O'Donohoe
wiley   +1 more source

Fairness‐aware insurance pricing: A multi‐objective optimization approach

Journal of Risk and Insurance, EarlyView.
Abstract Machine‐learning models can provide accurate predictions in insurance pricing, but can also increase disparities between protected groups. Existing fairness‐aware pricing approaches typically target one fairness notion at a time, making it difficult to compare trade‐offs between predictive accuracy, group fairness, individual fairness, and ...
Tim J. Boonen, Xinyue Fan, Zixiao Quan
wiley   +1 more source

Interactive content analysis : evaluating interactive variants of non-negative Matrix Factorisation and Latent Dirichlet Allocation as qualitative content analysis aids [PDF]

, 2014
This thesis addressed issues that have prevented qualitative researchers from using thematic discovery algorithms. The central hypothesis evaluated whether allowing qualitative researchers to interact with thematic discovery algorithms and incorporate ...
Bakharia, Aneesha
core