1489 search results - page 1 / 298 » Monotonicity in Bayesian Networks |
UAI
2004
13 years 6 months ago
2004
For many real-life Bayesian networks, common knowledge dictates that the output established for the main variable of interest increases with higher values for the observable varia...
AI
2002
Springer
13 years 4 months ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
UAI
2008
13 years 6 months ago
2008
Deciding what to sense is a crucial task, made harder by dependencies and by a nonadditive utility function. We develop approximation algorithms for selecting an optimal set of me...
RSKT
2010
Springer
13 years 3 months ago
2010
Springer
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
TIT
2002
13 years 4 months ago
2002
Abstract--The use of multicast inference on end-to-end measurement has recently been proposed as a means to infer network internal characteristics such as packet link loss rate and...