377 search results - page 13 / 76 » Learning Bayesian networks from data: An information-theory ... |
ACL
2012
11 years 10 months ago
2012
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
ICANN
2009
Springer
13 years 11 months ago
2009
Springer
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
ECSQARU
2005
Springer
14 years 1 months ago
2005
Springer
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
FUIN
2008
13 years 6 months ago
2008
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...