In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
This paper discusses sampling strategies for building a dependency-analyzed corpus and analyzes them with different kinds of corpora. We used the Kyoto Text Corpus, a dependency-a...
To date, some types of Optically Reconfigurable Gate Arrays (ORGAs) have been developed to realize capabilities of rapid reconfiguration with numerous reconfiguration contexts. How...
This paper proposes a collaborative approach for personal task management which is modeled as an alliance model. Alliance model is based on information sharing and collaboration o...
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...