Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
Privacy-preserving query-answering systems answer queries while provably guaranteeing that sensitive information is kept secret. One very attractive notion of privacy is perfect p...
We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavy-tailed, or (b) the s...
Collaborations (between objects) are increasingly being recognized as fundamental building blocks to structure object-oriented design, and they have made their way into UML. But v...
Many applications require that large amounts of data are deleted from the database ? typically, such bulk deletes are carried out periodically and involve old or out-of-date data....