55 search results - page 3 / 11 » Latent Variable Models for Causal Knowledge Acquisition |
KDD
2010
ACM
13 years 9 months ago
2010
ACM
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
ICONIP
2007
13 years 7 months ago
2007
Abstract. An effective way to examine causality is to conduct an experiment with random assignment. However, in many cases it is impossible or too expensive to perform controlled ...
EOR
2006
13 years 5 months ago
2006
We propose a multivariate statistical framework for regional development assessment based on structural equation modelling with latent variables and show how such methods can be c...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
We describe a class of causal, discrete latent variable models called Multiple Multiplicative Factor models (MMFs). A data vector is represented in the latent space as a vector of...
CVPR
2012
IEEE
11 years 8 months ago
2012
IEEE
Many human action recognition tasks involve data that can be factorized into multiple views such as body postures and hand shapes. These views often interact with each other over ...