1340 search results - page 158 / 268 » Structure learning of Bayesian networks using constraints |
175
click to vote
ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
Correlated equilibria are a generalization of Nash equilibria that permit agents to act in a correlated manner and can therefore, model learning in games. In this paper we define...
134
click to vote
ESANN
2003
15 years 5 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...
162
click to vote
JMLR
2012
13 years 7 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...
132
click to vote
KDD
2007
ACM
16 years 4 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
126
click to vote
NN
2006
Springer
15 years 4 months ago
2006
Springer
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...