Learning the Structure of Linear Latent Variable Models (2006)

by Ricardo SIlva , Richard Scheines , Clark Glymour , Peter Spirtes
Venue:JOURNAL OF MACHINE LEARNING RESEARCH 7 (2006) 191--246
Citations:42 - 13 self

Active Bibliography

Journal X (2005) XX-XX Submitted XX/XX; Published XX/XX Learning the Structure of Linear Latent Variable Models – Ricardo Silva, Clark Glymour, Peter Spirtes
7 Generalized measurement models – Ricardo Silva, Richard Scheines - 2004
5 Automatic discovery of latent variable models – Ricardo Silva, Tom Mitchell Cmu - 2005
Learning Associations by Discrete Measurement Models ABSTRACT – Ricardo Silva
579 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
753 Using Bayesian networks to analyze expression data – Nir Friedman, Michal Linial, Iftach Nachman - 2000
872 A tutorial on learning with Bayesian networks – David Heckerman - 1995
924 Learning Bayesian networks: The combination of knowledge and statistical data – David Heckerman, David M. Chickering - 1995
489 Probabilistic Principal Component Analysis – Michael E. Tipping, Chris M. Bishop - 1999