An alphabetic binary tree formulation applies to problems in which an outcome needs to be determined via alphabetically ordered search prior to the termination of some window of o...
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Abstract—In this paper, we propose and evaluate two distributed protocols for finding low-cost broadcast and multicast trees in wireless networks. The constructed trees can then...
Nazanin Rahnavard, Badri N. Vellambi, Faramarz Fek...
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Instances of constraint satisfaction problems can be solved efficiently if they are representable as a tree decomposition of small width. Unfortunately, the task of finding a deco...