Background: This paper describes the design of an event ontology being developed for application in the machine understanding of infectious disease-related events reported in natu...
Ai Kawazoe, Hutchatai Chanlekha, Mika Shigematsu, ...
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
We study the problem of approximating pseudoBoolean functions by linear pseudo-Boolean functions. Pseudo-Boolean functions generalize ordinary Boolean functions by allowing the fu...
Guoli Ding, Robert F. Lax, Peter P. Chen, Jianhua ...