This paper presents a novel theory for learning generic prior models from a set of observed natural images based on a minimax entropy theory that the authors studied in modeling t...
It is often possible to describe the correct functioning of a system by a mathematical model. As long as observations or measurements correspond to the predictions made by the mod...
Exploiting linear type structure, we introduce a new theory bisimilarity for the π-calculus in which we abstract away not only τ-actions but also non-τ actions which do not aff...
— This paper reviews two streams of development, from the 1940’s to the present, in signal detection theory: the structure of the likelihood ratio for detecting signals in nois...
We discuss the representation of knowledge and of belief from the viewpoint of decision theory. While the Bayesian approach enjoys general-purpose applicability and axiomatic foun...