Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
We note that a set of statistically “unusual” proteinprofile pairs in experimentally determined database of protein-protein interactions can typify protein-protein interaction...
Byung-Hoon Park, George Ostrouchov, Gong-Xin Yu, A...
are proposing a model to help organizations detect and prevent cheats in online assessments. First we analyze different student personalities, stress situations generated by onlin...
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
There has been increasing interest in the problem of building accurate data mining models over aggregate data, while protecting privacy at the level of individual records. One app...
Alexandre V. Evfimievski, Johannes Gehrke, Ramakri...