The storage requirements of the array-dominated and looporganized algorithmic specifications running on embedded systems can be significant. Employing a data memory space much l...
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
We present a new algorithm to measure domain-specific readability. It iteratively computes the readability of domainspecific resources based on the difficulty of domain-specific c...
Recommender systems base their operation on past user ratings over a collection of items, for instance, books, CDs, etc. Collaborative filtering (CF) is a successful recommendatio...