L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
We consider problems on data sets where each data point has uncertainty described by an individual probability distribution. We develop several frameworks and algorithms for calcul...
Abstract. In this paper we present algorithms to statically detect livelocks in Ada multitasking programs. Although the algorithms’ worst-case execution time is exponential, they...
Johann Blieberger, Bernd Burgstaller, Robert Mitte...
A polynomial-time algorithm is presented for partitioning a collection of sporadic tasks among the processors of an identical multiprocessor platform with static-priority scheduli...
Nathan Fisher, Sanjoy K. Baruah, Theodore P. Baker
We consider simple cube-curves in the orthogonal 3D grid. The union of all cells contained in such a curve (also called the tube of this curve) is a polyhedrally bounded set. The c...