Other manuscripts
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Silva, R. and Ghahramani, Z. (2006).
Bayesian inference for discrete mixed graph models: normit
networks, observable independencies and infinite mixtures.
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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.
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Silva, R and Scheines, R. (2004). "Generalized
measurement models". Technical Report CMU-CALD-04-101, Center for
Automated Learning and Discovery, Carnegie Mellon University.
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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.
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Silva, R. (2002). "The new Washdown algorithm"
Unpublished research note.
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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.
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Moody, J.; Silva, R. and Vanderwaart, J. (2000). "Feature
selection for rock classification from spectra". Technical report,
Department of Philosophy, Carnegie Mellon University.
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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