1477 search results - page 45 / 296 » Random Convex Programs |
AAAI
2006
13 years 10 months ago
2006
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
In many real-world scenarios, it is nearly impossible to collect explicit social network data. In such cases, whole networks must be inferred from underlying observations. Here, w...
CDC
2009
IEEE
13 years 6 months ago
2009
IEEE
Abstract-- The problem of finding the eigenvector corresponding to the largest eigenvalue of a stochastic matrix has numerous applications in ranking search results, multi-agent co...
APPROX
2005
Springer
14 years 2 months ago
2005
Springer
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
ICALP
2000
Springer
14 years 8 days ago
2000
Springer
