—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Skin effect makes interconnect resistance and inductance frequency dependent. This paper addresses the problem of efficiently estimating the signal characteristics of any RLC netw...
The low-rank matrix approximation problem involves finding of a rank k version of a m ? n matrix AAA, labeled AAAk, such that AAAk is as "close" as possible to the best ...
In data integration applications, a join matches elements that are common to two data sources. Often, however, elements are represented slightly different in each source, so an app...
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...