38 search results - page 4 / 8 » Parametric Learning and Monte Carlo Optimization |
ICCAD
1998
IEEE
14 years 24 days ago
1998
IEEE
This paper presents an efficient statistical design methodology that allows simultaneous sizing for performance and optimization for yield and robustness of analog circuits. The s...
FTEDA
2006
13 years 8 months ago
2006
As IC technologies scale to finer feature sizes, it becomes increasingly difficult to control the relative process variations. The increasing fluctuations in manufacturing process...
IOR
2011
13 years 3 months ago
2011
We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...
AAAI
2010
13 years 10 months ago
2010
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
JMLR
2010
13 years 3 months ago
2010
We consider the problem of tactile discrimination, with the goal of estimating an underlying state parameter in a sequential setting. If the data is continuous and highdimensional...