704 search results - page 21 / 141 » Exploiting Data Missingness in Bayesian Network Modeling |
AIED
2005
Springer
15 years 4 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...
GECCO
2008
Springer
14 years 12 months ago
2008
Springer
This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of t...
88
Voted
ICDM
2010
IEEE
14 years 9 months ago
2010
IEEE
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
97
Voted
JMLR
2011
14 years 5 months ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
104
Voted
JMLR
2010
14 years 5 months ago
2010
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...