We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
Service composition is emerging as an important paradigm for constructing distributed applications by combining and reusing independently developed component services. One key issu...
The prevalent use of social media produces mountains of unlabeled, high-dimensional data. Feature selection has been shown effective in dealing with high-dimensional data for eï¬...
: We address the problem of evaluating peer-to-peer information retrieval (P2PIR) systems with semantic overlay structure. The P2PIR community lacks a commonly accepted testbed, su...
Florian Holz, Hans Friedrich Witschel, Gregor Hein...
Dramatic increasesin availablewide-area bandwidth have driven event-basedmonitoring to new heights. Monitoring services are widely used in today's distributed laboratories, w...