553 search results - page 80 / 111 » Bayesian network learning algorithms using structural restri... |
ICML
2002
IEEE
14 years 9 months ago
2002
IEEE
We apply the Message from Monte Carlo (MMC) algorithm to inference of univariate polynomials. MMC is an algorithm for point estimation from a Bayesian posterior sample. It partiti...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
ESANN
2003
13 years 9 months ago
2003
In this paper, we propose a new network growth model and its learning algorithm to more precisely model such a real-world growing network as the Web. Unlike the conventional model...
JMLR
2012
11 years 11 months ago
2012
Many real-world problems are inherently hierarchically structured. The use of this structure in an agent’s policy may well be the key to improved scalability and higher performa...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...