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,...
The spatial relationship between the corticospinal tracts and a brain tumor is important for planning the surgical strategy. Although the white matter tracts can be manually outlin...
Michael Kaus, Arya Nabavi, C. T. Mamisch, William ...
Star schema, which maintains one-to-many relationships between dimensions and a fact table, is widely accepted as the most viable data representation for dimensional analysis. Rea...
Il-Yeol Song, William Rowen, Carl Medsker, Edward ...
Goal-directed Markov Decision Process models (GDMDPs) are good models for many decision-theoretic planning tasks. They have been used in conjunction with two different reward stru...
Logic-based controlled natural languages usually provide some facility for compositional representation, minimally including sentence level coordination and sometimes subordination...