93 search results - page 2 / 19 » Learning Measurement Models for Unobserved Variables |
UM
2007
Springer
14 years 11 days ago
2007
Springer
Predictive user models often require a phase of effortful supervised training where cases are tagged with labels that represent the status of unobservable variables. We formulate a...
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
We present a Bayesian search algorithm for learning the structure of latent variable models of continuous variables. We stress the importance of applying search operators designed...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
DAWAK
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
ECCV
2002
Springer
14 years 8 months ago
2002
Springer
Abstract. We present a new approach to modeling and processing multimedia data. This approach is based on graphical models that combine audio and video variables. We demonstrate it...