—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
Abstract-- This study points out some weaknesses of existing Quantum-Inspired Evolutionary Algorithms (QEA) and explains in particular how hitchhiking phenomenons can slow down the...
Michael Defoin-Platel, Stefan Schliebs, Nikola Kas...
A string matching--and more generally, sequence matching--algorithm is presented that has a linear worst-case computing time bound, a low worst-case bound on the number of compari...
The approximate string matching problem is to find all locations at which a query of length m matches a substring of a text of length n with k-or-fewer differences. Simple and prac...
One of the major issues confronting case-based reasoning (CBR) is rapid retrieval of similar cases from a large case base. This paper describes three algorithms which address this...
Richard H. Stottler, Andrea L. Henke, James A. Kin...