Abstract. Most classification methods assume that the samples are drawn independently and identically from an unknown data generating distribution, yet this assumption is violated ...
Various tasks in decision making and decision support require selecting a preferred subset of items from a given set of feasible items. Recent work in this area considered methods...
Maxim Binshtok, Ronen I. Brafman, Solomon Eyal Shi...
A dozen people who cannot speak and have very limited voluntary muscle control because of cerebral palsy or traumatic brain injury have tried using a new technology called the Cam...
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
Francis R. Bach, Romain Thibaux, Michael I. Jordan
Computing is moving toward a pervasive context-aware environment in which agents with limited resources will require external support to help them become context-aware. In this pa...