Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
Protecting data privacy is an important problem in microdata distribution. Anonymization algorithms typically aim to protect individual privacy, with minimal impact on the quality...
Kristen LeFevre, David J. DeWitt, Raghu Ramakrishn...
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
Abstractions as the Foundation for Storage Infrastructure John MacCormick, Nick Murphy, Marc Najork, Chandramohan A. Thekkath, and Lidong Zhou Microsoft Research Silicon Valley Wr...
John MacCormick, Nick Murphy, Marc Najork, Chandra...
A holy grail of component-based software engineering is "write-once, reuse everywhere". However, in modern distributed, component-based systems supporting emerging appli...
Eric Wohlstadter, Stefan Tai, Thomas A. Mikalsen, ...