23 search results - page 2 / 5 » Percentile optimization in uncertain Markov decision process... |
SIGMOD
2007
ACM
14 years 4 months ago
2007
ACM
Managing uncertain data using probabilistic frameworks has attracted much interest lately in the database literature, and a central computational challenge is probabilistic infere...
INFOCOM
1998
IEEE
13 years 8 months ago
1998
IEEE
We consider the problem of routing connections with quality of service (QoS) requirements across networks when the information available for making routing decisions is inaccurate....
JMLR
2002
13 years 3 months ago
2002
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
AMAI
2006
Springer
13 years 4 months ago
2006
Springer
A weakness of classical Markov decision processes (MDPs) is that they scale very poorly due to the flat state-space representation. Factored MDPs address this representational pro...
ATAL
2006
Springer
13 years 8 months ago
2006
Springer
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms ha...