57 search results - page 3 / 12 » An Integrated Framework for Deterministic and Stochastic Opt... |
JMLR
2012
11 years 9 months ago
2012
We present a minimax framework for classification that considers stochastic adversarial perturbations to the training data. We show that for binary classification it is equivale...
CCE
2007
13 years 7 months ago
2007
This work describes a stochastic approach for the optimal placement of sensors in municipal water networks to detect maliciously injected contaminants. The model minimizes the exp...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
In this paper, we study a particular subclass of partially observable models, called quasi-deterministic partially observable Markov decision processes (QDET-POMDPs), characterize...
WSC
2007
13 years 9 months ago
2007
Response Surface Methodology (RSM) is a metamodelbased optimization method. Its strategy is to explore small subregions of the parameter space in succession instead of attempting ...
ESA
2008
Springer
13 years 9 months ago
2008
Springer
For several NP-hard network design problems, the best known approximation algorithms are remarkably simple randomized algorithms called Sample-Augment algorithms in [11]. The algor...