231 search results - page 44 / 47 » Stochastic Optimization is (Almost) as easy as Deterministic... |
NIPS
1998
13 years 8 months ago
1998
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
IOPADS
1997
13 years 8 months ago
1997
We provide a competitive analysis framework for online prefetching and buffer management algorithms in parallel I/O systems, using a read-once model of block references. This has ...
PE
2011
Springer
13 years 2 months ago
2011
Springer
High-level semi-Markov modelling paradigms such as semi-Markov stochastic Petri nets and process algebras are used to capture realistic performance models of computer and communic...
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...
SIGECOM
2003
ACM
14 years 22 days ago
2003
ACM
Often, an outcome must be chosen on the basis of the preferences reported by a group of agents. The key difficulty is that the agents may report their preferences insincerely to m...