We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
This paper compares several implementations of entry consistency (EC) and lazy release consistency (LRC), two relaxed memory models in use with software distributed shared memory ...
Sarita V. Adve, Alan L. Cox, Sandhya Dwarkadas, Ra...
Online forums represent one type of social media that is particularly rich for studying human behavior in information seeking and diffusing. The way users join communities is a re...
— We have developed an analysis-based design tool, ANDES, for modeling a wireless sensor network system and analyzing its performance before deployment. ANDES enables designers t...