Compartment models have been proposed in the 1920s as a model for the spread of an infectious disease in a society, in a famous article by Kermack and ...
The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.
Abstract: Online video platforms such as YouTube was once regarded as a haven for entertainment, educational, and promotional purposes. Now they have become a breeding ground for spreading toxic ...
SpatialTopic is designed as a flexible spatial analysis module within the current imaging analysis workflow (Fig. 1B). Its main objective is to identify biologically meaningful topics across ...
Extract topics and summarise outputs using Large Language Models (LLMs), either local, Gemini, Azure, or AWS Bedrock models (e.g. Claude, Nova models). The app will query the LLM with batches of ...
ABSTRACT: This study examines the specific techniques Disneyland applies to its experience marketing, which have helped it become a theme park leader. In the current marketplace, companies have to ...
ABSTRACT: This study examines how Artificial Intelligence (AI) can enhance Sharia compliance in Islamic finance by improving the accuracy, efficiency, and consistency of monitoring and auditing ...
Are you looking for an innovative approach to topic modeling in natural language processing? Look no further than Latent Dirichlet Allocation (LDA), a powerful technique that can help you uncover ...
Human mobility is increasingly associated with environmental and climatic factors. One way to explore how mobility and the environment are linked is to review the research on different aspects of the ...
ETM is a generative topic model combining traditional topic models (LDA) with word embeddings (word2vec) It models each word with a categorical distribution whose natural parameter is the inner ...
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