Sciweavers

369 search results - page 26 / 74
» A Stochastic Programming Approach to Power Portfolio Optimiz...
Sort
View
WSC
2008
13 years 10 months ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell
SIGMETRICS
2010
ACM
206views Hardware» more  SIGMETRICS 2010»
14 years 15 days ago
Successive c-optimal designs: a scalable technique to optimize the measurements on large networks
We propose a new approach to optimize the deployment and the sampling rates of network monitoring tools, such as Netflow, on a large IP network. It reduces to solving a stochasti...
Guillaume Sagnol, Mustapha Bouhtou, Stephane Gaube...
JMLR
2012
11 years 10 months ago
Multi Kernel Learning with Online-Batch Optimization
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
Francesco Orabona, Jie Luo, Barbara Caputo
ASPDAC
2009
ACM
102views Hardware» more  ASPDAC 2009»
14 years 2 months ago
Stochastic current prediction enabled frequency actuator for runtime resonance noise reduction
Power delivery network (PDN) is a distributed RLC network with its dominant resonance frequency in the low-to-middle frequency range. Though high-performance chips’ working freq...
Yiyu Shi, Jinjun Xiong, Howard Chen, Lei He
INFORMATICALT
2010
103views more  INFORMATICALT 2010»
13 years 2 months ago
Multistage K-Means Clustering for Scenario Tree Construction
Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...
Kristina Sutiene, Dalius Makackas, Henrikas Pranev...