377 search results - page 10 / 76 » Learning Bayesian networks from data: An information-theory ... |
AIIA
2001
Springer
14 years 5 days ago
2001
Springer
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
NIPS
2000
13 years 9 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
ACL
2010
13 years 5 months ago
2010
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
BMCBI
2010
13 years 7 months ago
2010
Background: One of main aims of Molecular Biology is the gain of knowledge about how molecular components interact each other and to understand gene function regulations. Using mi...
IJCAI
2001
13 years 9 months ago
2001
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...