—Subspaces offer convenient means of representing information in many pattern recognition, machine vision, and statistical learning applications. Contrary to the growing populari...
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees....
Network topology design problems find application in several real life scenarios. However, most designs in the past either optimize for a single criterion like delay or assume sim...
Abstract—We first present a problem called precedence constrained two traveling salesman (PC2TSP). We propose a nearoptimal heuristic to PC2TSP to generate tours by clustering p...
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...