We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Uncertain data streams are increasingly common in real-world deployments and monitoring applications require the evaluation of complex queries on such streams. In this paper, we c...
Thanh T. L. Tran, Andrew McGregor, Yanlei Diao, Li...
Software is developed for and in a vast number of contexts. Some software systems are small in size; some large. Some systems are developed by small teams; some large. Some projec...
Emerson R. Murphy-Hill, Gail C. Murphy, William G....
Abstract. In distributed resource allocation a set of agents must assign their resources to a set of tasks. This problem arises in many real-world domains such as disaster rescue, ...
Pragnesh Jay Modi, Hyuckchul Jung, Milind Tambe, W...
We consider robust least-squares regression with feature-wise disturbance. We show that this formulation leads to tractable convex optimization problems, and we exhibit a particul...