The information boundedness principle for rule based inference process requires that the knowledge obtained as a result of a rule should not have more information than that contai...
I investigate versions of the Maximality Principles for the classes of forcings which are <-closed, <-directed-closed, or of the form Col(, < ). These principles come in ...
In this note we aim to give a new, elementary proof of a statement that was first proved by Timofte (2003) [15]. It says that a symmetric real polynomial F of degree d in n variabl...
The intelligent reformulation or restructuring of a belief network can greatly increase the efficiency of inference. However, time expended for reformulation is not available for ...
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...