4578 search results - page 437 / 916 » Learning from Multi-source Data |
135
click to vote
UAI
1996
15 years 5 months ago
1996
We discuss Bayesian methods for learning Bayesian networks when data sets are incomplete. In particular, we examine asymptotic approximations for the marginal likelihood of incomp...
136
Voted
FSS
2007
15 years 4 months ago
2007
In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
129
click to vote
ICWL
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. There is little doubt that intelligent and adaptive educational technologies are capable of providing personalized learning experiences and improving learning success. Cu...
178
Voted
AAAI
2011
14 years 4 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
128
click to vote
AAAI
2006
15 years 6 months ago
2006
straction is a useful tool for agents interacting with environments. Good state abstractions are compact, reuseable, and easy to learn from sample data. This paper and extends two...