Sciweavers

65 search results - page 6 / 13
» Conditioning of convex piecewise linear stochastic programs
Sort
View
HYBRID
2004
Springer
15 years 2 months ago
Inference Methods for Autonomous Stochastic Linear Hybrid Systems
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
Hamsa Balakrishnan, Inseok Hwang, Jung Soon Jang, ...
FPL
2009
Springer
161views Hardware» more  FPL 2009»
15 years 2 months ago
A multi-FPGA architecture for stochastic Restricted Boltzmann Machines
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
Daniel L. Ly, Paul Chow
ICC
2009
IEEE
151views Communications» more  ICC 2009»
15 years 4 months ago
Slow Adaptive OFDMA via Stochastic Programming
—Fueled by the promises of high spectral efficiency, adaptive OFDMA has attracted enormous research interests over the last decade. The significant capacity gain of adaptive OF...
Wei Liang (William) Li, Ying Jun (Angela) Zhang, M...
AUTOMATICA
2008
60views more  AUTOMATICA 2008»
14 years 9 months ago
Control of nonstationary LPV systems
This paper considers control of nonstationary linear parameter-varying systems, and is motivated by interest in the control of nonlinear systems along prespecified trajectories. I...
Mazen Farhood, Geir E. Dullerud
114
Voted
CCE
2008
14 years 9 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny