328 search results - page 28 / 66 » On Approximating Multidimensional Probability Distributions ... |
ML
2012
ACM
12 years 4 months ago
2012
ACM
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
ICDE
2011
IEEE
13 years 12 days ago
2011
IEEE
— The study of skylines and their variants has received considerable attention in recent years. Skylines are essentially sets of most interesting (undominated) tuples in a databa...
NIPS
2003
13 years 10 months ago
2003
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
ICCD
2001
IEEE
14 years 5 months ago
2001
IEEE
We present a simulation-based semi-formal verification method for sequential circuits described at the registertransfer level. The method consists of an iterative loop where cove...
SSIAI
2000
IEEE
14 years 1 months ago
2000
IEEE
The use of random fields, which allows one to take into account the spatial interaction among random variables in complex systems, is a frequent tool in numerous problems of stati...