Sciweavers

1489 search results - page 2 / 298
» Monotonicity in Bayesian Networks
Sort
View
IPMU
1992
Springer
13 years 10 months ago
Rule-Based Systems with Unreliable Conditions
This paper deals with the problem of inference under uncertain information. This is a generalization of a paper of Cardona et al. (1991a) where rules were not allowed to contain n...
L. Cardona, Jürg Kohlas, Paul-André Mo...
INFOCOM
2012
IEEE
11 years 9 months ago
Maximizing system throughput by cooperative sensing in Cognitive Radio Networks
—Cognitive Radio Networks allow unlicensed users to opportunistically access the licensed spectrum without causing disruptive interference to the primary users (PUs). One of the ...
Shuang Li, Zizhan Zheng, Eylem Ekici, Ness B. Shro...
FLAIRS
2007
13 years 9 months ago
Lossless Decomposition of Bayesian Networks
In this paper, we study the problem of information preservation when decomposing a single Bayesian network into a set of smaller Bayesian networks. We present a method that lossle...
Dan Wu
APPROX
2010
Springer
135views Algorithms» more  APPROX 2010»
13 years 6 months ago
Monotonicity Testing and Shortest-Path Routing on the Cube
We study the problem of monotonicity testing over the hypercube. As previously observed in several works, a positive answer to a natural question about routing properties of the hy...
Jop Briët, Sourav Chakraborty, David Garc&iac...
NIPS
1996
13 years 8 months ago
Monotonicity Hints
: Neural networks are competitive tools for classification problems. In this context, a hint is any piece of prior side information about the classification. Common examples are mo...
Joseph Sill, Yaser S. Abu-Mostafa