Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
Usually unequal error protection schemes mostly focus on protecting video data parameters with unequal rates or levels depending on their sensitivities to errors. This paper first...
Linear Programming (LP) relaxations have become powerful tools for finding the most probable (MAP) configuration in graphical models. These relaxations can be solved efficiently u...
David Sontag, Talya Meltzer, Amir Globerson, Tommi...
Three different instruction formats were examined respecting their usefulness for the navigation through hierarchical menus in mobile phones. 56 middle-aged adults had to solve fou...
The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...