In this paper, we present two ensemble learning algorithms which make use of boostrapping and out-of-bag estimation in an attempt to inherit the robustness of bagging to overfitti...
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approac...
An improved maximum likelihood estimator for ellipse fitting based on the heteroscedastic errors-in-variables (HEIV) regression algorithm is proposed. The technique significantly ...
— Internet worm attacks pose a significant threat to network security. In this work, we coin the term Internet worm tomography as inferring the characteristics of Internet worms...
Qian Wang, Zesheng Chen, Kia Makki, Niki Pissinou,...
Effort estimation methods are one of the important tools for project managers in controlling human resources of ongoing or future software projects. The estimations require histori...