We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye
In this paper, we propose four slicing methods using both static and dynamic analysis information. (1) StatementMark Slice : removes the unnecessary statements using an execution ...
Multiple Clock Domain (MCD) processors are a promising future alternative to today’s fully synchronous designs. Dynamic Voltage and Frequency Scaling (DVFS) in an MCD processor ...
Qiang Wu, Philo Juang, Margaret Martonosi, Douglas...
We propose a sample average approximation (SAA) method for stochastic programming problems involving an expected value constraint. Such problems arise, for example, in portfolio s...
Abstract: This paper presents a new net-reduction methodology to facilitate the analysis of large workflow models. We propose an enhanced algorithm based on reducible subnet identi...