In this paper we address the issue of dependable distributed high performance computing in the field of Symbolic Computation. We describe the extension of a middleware infrastructu...
Abstract. We present a novel algorithm called DBSC, which finds subspace clusters in numerical datasets based on the concept of ”dependency”. This algorithm employs a depth-...
With the rapid evolution of mobile and ubiquitous computing, small-scale devices like personal digital assistants, smart "converged" phones and laptops now dominate the ...
In this paper, we present a stochastic language model for Japanese using dependency. The prediction unit in thismodel isallattributeof "bunsetsu". This isrepresented by ...
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...