Virtually all existing classification techniques label one sample at a time. In this paper, we highlight the potential benefits of group based classification (GBC), where the clas...
The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bay...
Despite the computing power of emerging technologies, predicting long RNA secondary structures with thermodynamics-based methods is still infeasible, especially if the structures ...
Michela Taufer, Thamar Solorio, Abel Licon, David ...
A method of using Markov chain techniques for combinatorial test case selection is presented. The method can be used for statistical and coverage testing of many software programs...
Sergiy A. Vilkomir, W. Thomas Swain, Jesse H. Poor...
In this paper we present an online algorithm that attacks the problem of placing relay nodes in regions where high localized congestion is detected. Congestion refers to the netwo...