38 search results - page 6 / 8 » Active Learning of Dynamic Bayesian Networks in Markov Decis... |
EXPERT
2010
13 years 3 months ago
2010
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
AAAI
2000
13 years 7 months ago
2000
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
JSAC
2010
13 years 4 months ago
2010
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...
CDC
2008
IEEE
14 years 7 days ago
2008
IEEE
— In this paper we study the problem of dynamic optimization of ping schedule in an active sonar buoy network deployed to provide persistent surveillance of a littoral area throu...
UAI
2004
13 years 7 months ago
2004
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...