Results 101 to 110 of about 25,541,881 (369)

Private Topic Modeling

open access: yes, 2016
We develop a privatised stochastic variational inference method for Latent Dirichlet Allocation (LDA). The iterative nature of stochastic variational inference presents challenges: multiple iterations are required to obtain accurate posterior distributions, yet each iteration increases the amount of noise that must be added to achieve a reasonable ...
Park, M.   +3 more
openaire   +3 more sources

Identification of novel small molecule inhibitors of ETS transcription factors

open access: yesFEBS Letters, EarlyView.
ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six
Shaima Abdalla   +9 more
wiley   +1 more source

Sharing Real-Time Traffic Information With Travelers Using Twitter: An Analysis of Effectiveness and Information Content

open access: yesFrontiers in Built Environment, 2019
Ubiquitous smartphone technologies and virtual social networks offer us a unique opportunity to instantly share information to a large number of people.
Rezaur Rahman   +3 more
doaj   +1 more source

A Thematic Network-Based Methodology for the Research Trend Identification in Building Energy Management

open access: yesEnergies, 2020
The rapid increase in the number of online resources and academic articles has created great challenges for researchers and practitioners to efficiently grasp the status quo of building energy-related research.
Zhikun Ding   +3 more
doaj   +1 more source

Latent dirichlet markov allocation for sentiment analysis [PDF]

open access: yes, 2013
In recent years probabilistic topic models have gained tremendous attention in data mining and natural language processing research areas. In the field of information retrieval for text mining, a variety of probabilistic topic models have been used to ...
Bagheri, A, de Jong, F, Saraee, MH
core   +3 more sources

Social context prevents heat hormetic effects against mutagens during fish development

open access: yesFEBS Letters, EarlyView.
This study shows that sublethal heat stress protects fish embryos against ultraviolet radiation, a concept known as ‘hormesis’. However, chemical stress transmission between fish embryos negates this protective effect. By providing evidence for the mechanistic molecular basis of heat stress hormesis and interindividual stress communication, this study ...
Lauric Feugere   +5 more
wiley   +1 more source

Joint Sentiment Part Topic Regression Model for Multimodal Analysis

open access: yesInformation, 2020
The development of multimodal media compensates for the lack of information expression in a single modality and thus gradually becomes the main carrier of sentiment. In this situation, automatic assessment for sentiment information in multimodal contents
Mengyao Li   +4 more
doaj   +1 more source

Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendations

open access: yesIEEE transactions on multimedia, 2015
From social media has emerged continuous needs for automatic travel recommendations. Collaborative filtering (CF) is the most well-known approach. However, existing approaches generally suffer from various weaknesses.
Shuhui Jiang   +4 more
semanticscholar   +1 more source

miRNA‐29 regulates epidermal and mesenchymal functions in skin repair

open access: yesFEBS Letters, EarlyView.
miRNA‐29 inhibits cell‐to‐cell and cell‐to‐matrix adhesion by silencing mRNA targets. Adhesion is controlled by complex interactions between many types of molecules coded by mRNAs. This is crucial for keeping together the layers of the skin and for regenerating the skin after wounding.
Lalitha Thiagarajan   +10 more
wiley   +1 more source

Neural Topic Modeling with Cycle-Consistent Adversarial Training [PDF]

open access: yesarXiv, 2020
Advances on deep generative models have attracted significant research interest in neural topic modeling. The recently proposed Adversarial-neural Topic Model models topics with an adversarially trained generator network and employs Dirichlet prior to capture the semantic patterns in latent topics.
arxiv  

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