There is a growing need for accurate power models at the system level. Memory structures such as caches, Branch Target Buffers (BTBs), and register files occupy significant area i...
Mahesh Mamidipaka, Kamal S. Khouri, Nikil D. Dutt,...
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based r...
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,...
Rippling is a form of rewriting that guides search by only performing steps that reduce the syntactic differences between formulae. Termination is normally ensured by a measure th...
Our work deals with schema or ontology matching and is driven by the following statements: (1) Most of works only consider intensional description of schemas; (2) They mostly use s...