72 search results - page 2 / 15 » Inferring learning and attitudes from a Bayesian Network of ... |
BMCBI
2010
13 years 4 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
FLAIRS
2006
13 years 6 months ago
2006
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
ITS
2010
Springer
13 years 9 months ago
2010
Springer
The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...
GLOBECOM
2010
IEEE
13 years 2 months ago
2010
IEEE
Cognitive networking deals with applying cognition to the entire network protocol stack for achieving stack-wide as well as network-wide performance goals, unlike cognitive radios ...
AAAI
2011
12 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 ...