22 search results - page 1 / 5 » A Bayesian framework for knowledge driven regression model i... |
IJDMB
2008
13 years 5 months ago
2008
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
AIED
2005
Springer
13 years 10 months ago
2005
Springer
Abstract: The problem of modeling and assessing an individual’s ability level is central to learning environments. Numerous approaches exists to this end. Computer Adaptive Testi...
TMI
2008
13 years 4 months ago
2008
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
GIS
2009
ACM
13 years 9 months ago
2009
ACM
Traditional regression analysis derives global relationships between variables and neglects spatial variations in variables. Hence they lack the ability to systematically discover...
DILS
2004
Springer
13 years 8 months ago
2004
Springer
Abstract. Ecologists spend considerable effort integrating heterogeneous data for statistical analyses and simulations, for example, to run and test predictive models. Our research...