To classify a large number of unlabeled examples we combine a limited number of labeled examples with a Markov random walk representation over the unlabeled examples. The random w...
In the recent literature on time representation, an effort has been made to characterize the notion of time granularity and the relationships between granularities, in order to ha...
This paper presents a technique that is capable of supporting two major requirements for concurrency control in real-time databases: data temporal consistency, and data logical co...
We study an approximation for the zero-variance change of measure to estimate the probability of a rare event in a continuous-time Markov chain. The rare event occurs when the cha...
Pieter-Tjerk de Boer, Pierre L'Ecuyer, Gerardo Rub...
This paper proposes a model using associative processors (APs) for real-time spoken language translation. Spoken language translation requires (1) an accurate translation and (2) ...