44 search results - page 8 / 9 » Sequential sampling for solving stochastic programs |
AAAI
2000
13 years 7 months ago
2000
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
AAAI
2012
11 years 8 months ago
2012
We address the problem of spatial conservation planning in which the goal is to maximize the expected spread of cascades of an endangered species by strategically purchasing land ...
ICCAD
2009
IEEE
13 years 3 months ago
2009
IEEE
With increasing process variation, binning has become an important technique to improve the values of fabricated chips, especially in high performance microprocessors where transpa...
CDC
2010
IEEE
13 years 23 days ago
2010
IEEE
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Pr...