Results 111 to 120 of about 13,047 (256)
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 +2 more
doaj +1 more source
Cancer Science, EarlyView.Spatial transcriptomics and bulk RNA‐seq data analysis revealed the molecular characteristics of invasive lobular carcinoma (ILC). ILC was classified into three clusters: proliferative, immunoreactive, and stromal‐rich, with different prognoses. ABSTRACT Invasive lobular carcinoma (ILC) is a special type of breast cancer.
Momoko Tokura +9 more
wiley +1 more source
Semantic annotation of large satellite images using Latent Dirichlet Allocation
, 2008 Images can be annotated semantically by using Latent Dirichlet ...
Maitre, Henri +2 more
core
European Management Review, EarlyView.Abstract Firm innovation and corporate social responsibility (CSR) are key strategic considerations that shape a firm's competitiveness and sustainability. However, studies exploring the relationship between the two are heterogeneous and sometimes obtain contradictory results, making it difficult to draw clear conclusions.
Daniel Alonso‐Martínez +2 more
wiley +1 more source
Exact marginal inference in Latent Dirichlet Allocation
CoRR, 2020 Assume we have potential "causes" $z\in Z$, which produce "events" $w$ with known probabilities $β(w|z)$. We observe $w_1,w_2,...,w_n$, what can we say about the distribution of the causes? A Bayesian estimate will assume a prior on distributions on $Z$ (we assume a Dirichlet prior) and calculate a posterior. An average over that posterior then gives a
openaire +2 more sources
Training Algorithms for Multilingual Latent Dirichlet Allocation
, 2016 Multilingual Latent Dirichlet Allocation (MLDA) is an extension of Latent Dirichlet Allocation (LDA) in a multilingual setting, which aims to discover aligned latent topic structures of a parallel corpus.
Jin, Haibo
core
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 +3 more
wiley +1 more source
DETEKSI TOPIK FASHION PADA TWITTER DENGAN LATENT DIRICHLET ALLOCATION
, 2017 Bagi orang-orang yang bergerak di bidang fashion mengetahui tren fashion adalah hal yang penting. Salah satu cara untuk mengetahui tren adalah dengan mendeteksi topik mengenai fashion yang dibicarakan di media sosial.
Yupa Umigi Al-khairi +2 more
core +1 more source
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 +2 more
wiley +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