The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
— This paper presents new results on the formal design of distributed coordinating agents in a discrete-event framework. In this framework, agents are modeled to be individually ...
Adaptive, or self-aware, computing has been proposed to help application programmers confront the growing complexity of multicore software development. However, existing approache...
Henry Hoffmann, Jonathan Eastep, Marco D. Santambr...
This paper presents a distributed implementation of RAND, a randomized time slot scheduling algorithm, called DRAND. DRAND runs in O() time and message complexity where is the max...
—The research area of Multimedia Content Analysis (MMCA) considers all aspects of the automated extraction of new knowledge from large multimedia data streams and archives. In re...
R. Yang, Robert D. van der Mei, D. Roubos, Frank J...