Search Results for author:
Found 2 papers, 1 papers with code
Fake News Detection on Social Media: A Data Mining Perspective
First, fake news is intentionally written to mislead readers to believe false information, which makes it difficult and nontrivial to detect based on news content; therefore, we need to include auxiliary information, such as user social engagements on social media, to help make a determination.
Lazy Factored Inference for Functional Probabilistic Programming
In this paper, we present a new inference framework, lazy factored inference (LFI), that enables factored algorithms to be used for models with infinitely many variables.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
