1340 search results - page 27 / 268 » Structure learning of Bayesian networks using constraints |
SKG
2006
IEEE
14 years 23 days ago
2006
IEEE
Mobile learning technologies have the potential to revolutionize distance education by bringing the concept of anytime and anywhere to reality. However, the development of mobile ...
IWINAC
2007
Springer
14 years 27 days ago
2007
Springer
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...
IICAI
2003
13 years 8 months ago
2003
Abstract. We present the Acyclic Bayesian Net Generator, a new approach to learn the structure of a Bayesian network using genetic algorithms. Due to the encoding mechanism, acycli...
NIPS
1990
13 years 8 months ago
1990
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
ICMCS
2000
IEEE
13 years 11 months ago
2000
IEEE
In this paper we discuss our recent research and open issues in structural and semantic analysis of digital videos. Specifically, we focus on segmentation, summarization and class...