With ever-increasing power density and cooling costs in modern high-performance systems, dynamic thermal management (DTM) has emerged as an effective technique for guaranteeing th...
Amit Kumar 0002, Li Shang, Li-Shiuan Peh, Niraj K....
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
Automatic bug-finding tools have a high false positive rate: most warnings do not indicate real bugs. Usually bug-finding tools assign important warnings high priority. However, t...
A technique called user views has recently been proposed to focus user attention on relevant information in response to provenance queries over workflow executions [1, 2]: Given u...
Olivier Biton, Susan B. Davidson, Sanjeev Khanna, ...