Ricardo Bezerra de Andrade e Silva

发表

Probabilistic workflow mining

Ricardo Bezerra de Andrade e Silva, Jiji Zhang, James G. Shanahan, 2005, KDD '05.

Towards Association Rules with Hidden Variables

Richard Scheines, Ricardo Bezerra de Andrade e Silva, 2006, PKDD.

The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models

Zoubin Ghahramani, Ricardo Bezerra de Andrade e Silva, Zoubin Ghahramani, 2009, J. Mach. Learn. Res..

Flexible sampling of discrete data correlations without the marginal distributions

Ricardo Bezerra de Andrade e Silva, Alfredo A. Kalaitzis, 2013, NIPS.

Learning Measurement Models for Unobserved Variables

Richard Scheines, Clark Glymour, Ricardo Bezerra de Andrade e Silva, 2002, UAI.

Mixed Cumulative Distribution Networks

Yee Whye Teh, Ricardo Bezerra de Andrade e Silva, Charles Blundell, 2010, AISTATS.

MCMC Methods for Bayesian Mixtures of Copulas

Robert B. Gramacy, Ricardo Bezerra de Andrade e Silva, 2009, AISTATS.

Measuring Latent Causal Structure pdf

Ricardo Bezerra de Andrade e Silva, Ricardo Silva, 2010, ArXiv.

Classification and filtering of spectra: A case study in mineralogy

Clark Glymour, Ricardo Bezerra de Andrade e Silva, Joseph Vanderwaart, 2002, Intell. Data Anal..

Learning the Structure of Linear Latent Variable Models

Richard Scheines, Clark Glymour, Ricardo Bezerra de Andrade e Silva, 2006, J. Mach. Learn. Res..

Hidden Common Cause Relations in Relational Learning

Wei Chu, Zoubin Ghahramani, Ricardo Bezerra de Andrade e Silva, 2007, NIPS.

A MCMC Approach for Learning the Structure of Gaussian Acyclic Directed Mixed Graphs

Ricardo Bezerra de Andrade e Silva, Ricardo Silva, 2013, Statistical Models for Data Analysis.

Neural network methods for rule induction

Teresa Bernarda Ludermir, Ricardo Bezerra de Andrade e Silva, Teresa B Ludermir, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Thinning Measurement Models and Questionnaire Design

Ricardo Bezerra de Andrade e Silva, Ricardo Silva, 2011, NIPS.

Factorial Mixture of Gaussians and the Marginal Independence Model

Zoubin Ghahramani, Ricardo Bezerra de Andrade e Silva, 2009, AISTATS.

Data filtering for automatic classification of rocks from reflectance spectra

Ricardo Bezerra de Andrade e Silva, Joseph Vanderwaart, Jonathan Moody, 2001, KDD '01.

Bayesian Inference for Gaussian Mixed Graph Models pdf

Zoubin Ghahramani, Ricardo Bezerra de Andrade e Silva, 2006, UAI.

Obtaining Simplified Rule Bases by Hybrid Learning

Teresa Bernarda Ludermir, Ricardo Bezerra de Andrade e Silva, 2000, ICML.

Bayesian learning of measurement and structural models

Richard Scheines, Ricardo Bezerra de Andrade e Silva, R. Scheines, 2006, ICML.

Flexible Sampling for the Gaussian Copula Extended Rank Likelihood Model pdf

Ricardo Bezerra de Andrade e Silva, Alfredo A. Kalaitzis, 2013, ArXiv.

Hybrid systems of local basis functions

Teresa Bernarda Ludermir, Ricardo Bezerra de Andrade e Silva, Teresa B Ludermir, 2001, Intell. Data Anal..

Bayesian inference via projections

Ricardo Bezerra de Andrade e Silva, Alfredo A. Kalaitzis, Ricardo Silva, 2015, Stat. Comput..

Ranking Relations using Analogies in Biological and Information Networks

Edoardo M. Airoldi, Katherine A. Heller, Zoubin Ghahramani, 2009, The annals of applied statistics.

Analogical Reasoning with Relational Bayesian Sets

Katherine A. Heller, Zoubin Ghahramani, Ricardo Bezerra de Andrade e Silva, 2007, AISTATS.

Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning

Edoardo M. Airoldi, Katherine A. Heller, Ricardo Bezerra de Andrade e Silva, 2011, Bioinform..

New d-separation identification results for learning continuous latent variable models

Richard Scheines, Ricardo Bezerra de Andrade e Silva, R. Scheines, 2005, ICML.

Discussion of "Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables"

Ricardo Bezerra de Andrade e Silva, Jiji Zhang, Jiji Zhang, 2011, AISTATS.