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 CMU-CALD-04-101, Center for Automated Learning and Discovery, Carnegie Mellon University.
  
  
• Silva, R; Scheines, R.; Spirtes, P. and Glymour, C. (2003). "Learning measurement models". Technical Report CMU-CALD-03-100, 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 "The new Washdown algorithm" Unpublished research note.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 CMU-CALD-02-102, 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