Other manuscripts

Silva, R. and Ghahramani, Z. (2006).
Bayesian inference for discrete mixed graph models: normit
networks, observable independencies and infinite mixtures.

Silva, R. (2006).
Principled selection of impure measures for consistent learning of
linear latent variable models. NIPS Workshop on Causality and Feature Selection,
Vancouver, Canada.

Silva, R and Scheines, R. (2004). "Generalized
measurement models". Technical Report CMUCALD04101, Center for
Automated Learning and Discovery, Carnegie Mellon University.

Silva, R; Scheines, R.; Spirtes, P. and Glymour, C. (2003). "Learning
measurement models". Technical Report CMUCALD03100, Center for
Automated Learning and Discovery, Carnegie Mellon University.

Silva, R. (2002). "The new Washdown algorithm"
Unpublished research note.

Silva, R. (2002). The Structure of the
Unobserved. Master's Project, Technical Report CMUCALD02102,
Center for Automated Learning and Discovery, Carnegie Mellon University.

Moody, J.; Silva, R. and Vanderwaart, J. (2000). "Feature
selection for rock classification from spectra". Technical report,
Department of Philosophy, Carnegie Mellon University.

Silva, R. B. A. (2000). Hybrid Systems of
Local Basis Functions. M.Sc. dissertation. Centro de Informtica,
Universidade Federal de Pernambuco. Recife  PE, Brazil
Last modification: Dec 07 2004