424 search results - page 19 / 85 » Boosted sampling: approximation algorithms for stochastic op... |
WINE
2007
Springer
14 years 1 months ago
2007
Springer
Internet search companies sell advertisement slots based on users’ search queries via an auction. Advertisers have to solve a complex optimization problem of how to place bids o...
CDC
2008
IEEE
14 years 2 months ago
2008
IEEE
— This paper addresses the computational overhead involved in probabilistic reachability computations for a general class of controlled stochastic hybrid systems. An approximate ...
ICTAI
2009
IEEE
13 years 5 months ago
2009
IEEE
We propose a framework which we call stochastic offline programming (SOP). The idea is to embed the development of combinatorial algorithms in an off-line learning environment whi...
CCE
2006
13 years 7 months ago
2006
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
UAI
2004
13 years 8 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...