4 datasets found

Cyberattack Prediction Through Public Text Analysis and Mini-Theories is a dataset used for training machine learning models to predict cyberattacks.

Markov Logic Networks (MLNs) are a probabilistic graphical model that can be used for a variety of tasks, including classification, regression, and clustering.

DeepPSL is a variant of probabilistic soft logic (PSL) to produce an end-to-end trainable system that integrates reasoning and perception.

The Cora and Citeseer datasets are used for training machine learning models to classify documents into different categories.