ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
Most empirical studies of peer production have focused on the final products of these efforts (such as software in Free/Open Source projects), but there are also many other knowle...
Margaret S. Elliott, Mark S. Ackerman, Walt Scacch...
Getting students to collaborate on group projects in a face-to-face scenario can be difficult enough -- but how does one approach collaborative projects in a Web-based environment...
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...
NLP tasks are often domain specific, yet systems can learn behaviors across multiple domains. We develop a new multi-domain online learning framework based on parameter combinatio...