We develop a pseudo-metric analogue of bisimulation for generalized semi-Markov processes. The kernel of this pseudo-metric corresponds to bisimulation; thus we have extended bisi...
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Organizations have recognized the need for high quality information and academics have proposed several methods to measure and improve information quality. One such method is to m...
Ganesan Shankaranarayanan, Richard Y. Wang, Mostap...
The objective of this paper is classifying images by the object categories they contain, for example motorbikes or dolphins. There are three areas of novelty. First, we introduce ...
Stochastic satisfiability modulo theories (SSMT), which is an extension of satisfiability modulo theories with randomized quantification, has successfully been used as a symboli...