Sciweavers

407 search results - page 32 / 82
» Monte Carlo simulation approach to stochastic programming
Sort
View
157
Voted
IJPP
2011
99views more  IJPP 2011»
15 years 1 months ago
Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs
Data-parallel accelerator devices such as Graphical Processing Units (GPUs) are providing dramatic performance improvements over even multicore CPUs for lattice-oriented applicatio...
Kenneth A. Hawick, Arno Leist, Daniel P. Playne
152
Voted
NIPS
2001
15 years 7 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
136
Voted
EMNLP
2007
15 years 7 months ago
A Probabilistic Approach to Diachronic Phonology
We present a probabilistic model of diachronic phonology in which individual word forms undergo stochastic edits along the branches of a phylogenetic tree. Our approach allows us ...
Alexandre Bouchard-Côté, Percy Liang,...
ISVLSI
2007
IEEE
204views VLSI» more  ISVLSI 2007»
16 years 13 days ago
Designing Memory Subsystems Resilient to Process Variations
As technology scales, more sophisticated fabrication processes cause variations in many different parameters in the device. These variations could severely affect the performance ...
Mahmoud Ben Naser, Yao Guo, Csaba Andras Moritz
HYBRID
2005
Springer
15 years 11 months ago
Polynomial Stochastic Hybrid Systems
This paper deals with polynomial stochastic hybrid systems (pSHSs), which generally correspond to stochastic hybrid systems with polynomial continuous vector fields, reset maps, a...
João P. Hespanha