The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
: This review presents empirical researchers with recent advances in causal inference, and stresses the paradigmatic shifts that must be undertaken in moving from traditional stati...
Abstract. Reset/inhibitor nets are Petri nets extended with reset arcs and inhibitor arcs. A reset arc allows a transition to remove all tokens from a certain place when the transi...
H. M. W. Verbeek, Moe Thandar Wynn, Wil M. P. van ...
Self-adjusting computation enables writing programs that can automatically and efficiently respond to changes to their data (e.g., inputs). The idea behind the approach is to stor...
Semantic web researchers tend to assume that XML Schema and OWL-S are the correct means for representing the types, structure, and semantics of XML data used for documents and int...
Andruid Kerne, Zachary O. Toups, Blake Dworaczyk, ...