Sciweavers

530 search results - page 8 / 106
» Bounds on marginal probability distributions
Sort
View
MOR
2010
91views more  MOR 2010»
13 years 6 months ago
Bounding Probability of Small Deviation: A Fourth Moment Approach
In this paper we study the problem of bounding the value of the probability distribution function of a random variable X at E[X] + a where a is a small quantity in comparison with...
Simai He, Jiawei Zhang, Shuzhong Zhang
CORR
2012
Springer
170views Education» more  CORR 2012»
12 years 3 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
UAI
1998
13 years 9 months ago
Large Deviation Methods for Approximate Probabilistic Inference
We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...
Michael J. Kearns, Lawrence K. Saul
ICML
2005
IEEE
14 years 8 months ago
Bayesian hierarchical clustering
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
Katherine A. Heller, Zoubin Ghahramani
HPCA
2007
IEEE
14 years 8 months ago
Implications of Device Timing Variability on Full Chip Timing
As process technologies continue to scale, the magnitude of within-die device parameter variations is expected to increase and may lead to significant timing variability. This pap...
Murali Annavaram, Ed Grochowski, Paul Reed