Search Results for author:
Found 2 papers, 0 papers with code
Improving Event Time Prediction by Learning to Partition the Event Time Space
Recently developed survival analysis methods improve upon existing approaches by predicting the probability of event occurrence in each of a number pre-specified (discrete) time intervals.
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
Deep neural networks (DNNs) lack the precise semantics and definitive probabilistic interpretation of probabilistic graphical models (PGMs).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
