The need for network stability and reliability has led to the growth of autonomic networks [2] that can provide more stable and more reliable communications via on-line measuremen...
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...
Most rule learning systems posit hard decision boundaries for continuous attributes and point estimates of rule accuracy, with no measures of variance, which may seem arbitrary to ...
Lemuel R. Waitman, Douglas H. Fisher, Paul H. King
Placement migration is a critical step to address a variety of postplacement design closure issues, such as timing, routing congestion, signal integrity, and heat distribution. To...
Tao Luo, Haoxing Ren, Charles J. Alpert, David Zhi...
Abstract. SOMs have proven to be a very powerful tool for data analysis. However, comparing multiple SOMs trained on the same data set using different parameters or initialisation...
Rudolf Mayer, Robert Neumayer, Doris Baum, Andreas...