104 search results - page 1 / 21 » Using Dirichlet priors to improve model parameter plausibili... |
EDM
2010
13 years 6 months ago
2010
Predictive accuracy and parameter plausibility are two major desired aspects for a student modeling approach. Knowledge tracing, the most commonly used approach, suffers from local...
EDM
2009
13 years 2 months ago
2009
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
UM
2007
Springer
13 years 11 months ago
2007
Springer
In this paper we show how model identifiability is an issue for student modeling: observed student performance corresponds to an infinite family of possible model parameter estimat...
UAI
2004
13 years 6 months ago
2004
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...