424 search results - page 7 / 85 » Boosted sampling: approximation algorithms for stochastic op... |
WSC
2001
13 years 8 months ago
2001
Various stochastic programmingproblemscan be formulated as problems of optimization of an expected value function. Quite often the corresponding expectation function cannot be com...
MVA
2007
13 years 9 months ago
2007
In this paper we present a stochastic sampling approach to estimate multiple human trajectory in the meeting. The algorithm is formalized as a energy minimization problem based on...
JAMDS
2000
13 years 7 months ago
2000
We develop a methodology for evaluating a decision strategy generated by a stochastic optimization model. The methodology is based on a pilot study in which we estimate the distri...
CDC
2010
IEEE
13 years 2 months 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...
SIGMETRICS
2011
ACM
12 years 10 months ago
2011
ACM
The massive data streams observed in network monitoring, data processing and scientific studies are typically too large to store. For many applications over such data, we must ob...