Results 71 to 80 of about 13,047 (256)

Exploring Symmetrical and Asymmetrical Dirichlet Priors for Latent Dirichlet Allocation

International Journal of Semantic Computing, 2018
Latent Dirichlet Allocation (LDA) has gained much attention from researchers and is increasingly being applied to uncover underlying semantic structures from a variety of corpora. However, nearly all researchers use symmetrical Dirichlet priors, often unaware of the underlying practical implications that they bear.
Shaheen Syed, Marco Spruit
openaire   +2 more sources

The latent process decomposition of cDNA microarray data sets [PDF]

, 2005
We present a new computational technique (a software implementation, data sets, and supplementary information are available at http://www.enm.bris.ac.uk/lpd/) which enables the probabilistic analysis of cDNA microarray data and we demonstrate its ...
Campbell, Colin, Breitling, Rainer, Breitling, R., Rogers, S, Girolami, M, Rogers, Simon, Girolami, Mark, Breitling, R, ,, Girolami, M., Campbell, C., Campbell, ICG, Rogers, S., Campbell, C   +13 more
core   +1 more source

A Spatial Semantic Feature Extraction Method for Urban Functional Zones Based on POIs

ISPRS International Journal of Geo-Information
Accurately extracting semantic features of urban functional zones is crucial for understanding urban functional zone types and urban functional spatial structures.
Xin Yang, Xi’ang Ma
doaj   +1 more source

Shifting Tides: A Decade of Business Climate Adaptation and Resilience Research (2013–2023)

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Climate change is causing significant disruptions to the socio‐ecological systems in which organizations operate, presenting unprecedented challenges for businesses across sectors in adapting to shifting environmental conditions and building resilience to extreme weather events.
Domenico Villano, Laura Colli, Federico Martellozzo, Sara Lombardi   +3 more
wiley   +1 more source

Personalized anti-tumor drug efficacy prediction based on clinical data

Heliyon
Anti-tumor drug efficacy prediction poses an unprecedented challenge to realizing personalized medicine. This paper proposes to predict personalized anti-tumor drug efficacy based on clinical data.
Xinping Xie, Dandan Li, Yangyang Pei, Weiwei Zhu, Xiaodong Du, Xiaodong Jiang, Lei Zhang, Hong-Qiang Wang   +7 more
doaj   +1 more source

Reflective Pathways: Integrating Empathy Into the STEM Student Experiences

Future in Educational Research, EarlyView.
ABSTRACT The growing demand for a globally competent STEM workforce showcases the importance of embedding empathy into undergraduate education. As a core dimension of global competence, empathy enables individuals to engage diverse perspectives and navigate collaborative challenges.
Aparajita Jaiswal, Nathan S. Bitner, Gaurav Nanda, Muna Sapkota   +3 more
wiley   +1 more source

Semantic Annotation of Satellite Images Using Latent Dirichlet Allocation

, 2010
Latent Dirichlet allocation allows a semantic annotation of remote sensing ...
Maitre, Henri, Lienou, Marie, Datcu, Mihai   +2 more
core   +1 more source

Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis

Frontiers in Artificial Intelligence, 2020
With the growth of online social network platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short-text messages.
Rania Albalawi, Tet Hin Yeap, Morad Benyoucef   +2 more
doaj   +1 more source

Particle Filter Rejuvenation and Latent Dirichlet Allocation [PDF]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2014
Previous research has established several methods of online learning for latent Dirichlet allocation (LDA). However, streaming learning for LDA— allowing only one pass over the data and constant storage complexity—is not as well explored. We use reservoir sampling to reduce the storage complexity of a previously-studied online algorithm, namely the ...
Chandler May, Alex Clemmer, Benjamin Van Durme   +2 more
openaire   +1 more source

Mapping the Influence of Ansoff's Corporate Strategy

Strategic Change, EarlyView.
ABSTRACT This paper conducts a systematic, data‐driven analysis of H. Igor Ansoff's enduring impact on strategic management scholarship. Despite Ansoff's recognition as the “father of strategic management” and the continued relevance of his frameworks—including the Ansoff matrix, weak signals analysis, and strategic thrust—a comprehensive understanding
Ivan Zupic, Tomaž Čater, Andrea Caputo, Dejan Uršič   +3 more
wiley   +1 more source