Monitoring of software’s execution is crucial in numerous software development tasks. Current monitoring efforts generally require extensive instrumentation of the software or d...
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
Virtual machine (VM) memory allocation and VM consolidation can benefit from the prediction of VM page miss rate at each candidate memory size. Such prediction is challenging for...
In the multi-view learning paradigm, the input variable is partitioned into two different views X1 and X2 and there is a target variable Y of interest. The underlying assumption i...
In this paper, we propose fast and efficient techniques to analyze the power grid with accurate modeling of the transistor network. The solution techniques currently available for...
Anand Ramalingam, Giri Devarayanadurg, David Z. Pa...