231 search results - page 10 / 47 » Stochastic Optimization is (Almost) as easy as Deterministic... |
TWC
2008
13 years 7 months ago
2008
A novel framework was introduced recently for stochastic routing in wireless multihop networks, whereby each node selects a neighbor to forward a packet according to a probability...
WSC
1998
13 years 8 months ago
1998
Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...
JMLR
2012
11 years 10 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...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
JCO
2011
12 years 10 months ago
2011
This paper presents mathematical programming techniques for solving a class of multi-sensor scheduling problems. Robust optimization problems are formulated for both deterministic ...