Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
Designers of concurrent programs are faced with many choices of synchronization mechanisms, among which clear functional trade-offs exist. Making synchronization customizable is h...
In this paper, we explore the problems associated with exception handling from a new dimension: the human. We designed a study that evaluates (1) different perspectives of softwar...
form uses a notational abstractions called -functions. These instructions have no analogous in actual machine instruction sets, and they must be replaced by ordinary instructions ...