93 search results - page 11 / 19 » Learning Measurement Models for Unobserved Variables |
75
Voted
ECSQARU
2001
Springer
15 years 2 months ago
2001
Springer
In this paper we examine the ability to perform causal reasoning with equilibrium models. We explicate a postulate, which we term the Manipulation Postulate, that is required in o...
83
Voted
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...
ALT
2000
Springer
15 years 6 months ago
2000
Springer
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
ICMLA
2009
14 years 7 months ago
2009
In sequential decision making under uncertainty, as in many other modeling endeavors, researchers observe a dynamical system and collect data measuring its behavior over time. The...
BMCBI
2006
14 years 9 months ago
2006
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...