186 search results - page 10 / 38 » Ontology-Based Generation of Bayesian Networks |
NIPS
2000
14 years 10 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
CCS
2009
ACM
15 years 1 months ago
2009
ACM
This work casts the traffic analysis of anonymity systems, and in particular mix networks, in the context of Bayesian inference. A generative probabilistic model of mix network ar...
102
Voted
MINENET
2006
ACM
15 years 3 months ago
2006
ACM
When failures occur in Internet overlay connections today, it is difficult for users to determine the root cause of failure. An overlay connection may require TCP connections bet...
AUSAI
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. In the philosophy of behavior-based robotics, design of complex behavior needs the interaction of basic behaviors that are easily implemented. Action selection mechanism ...
75
Voted
UAI
2003
14 years 10 months ago
2003
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...