Ricardo Bezerra de Andrade e Silva

According to our database, Ricardo Bezerra de Andrade e Silva authored at least 31 papers between 1999 and 2015.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2015

Bayesian inference via projections.

Ricardo Bezerra de Andrade e Silva, Alfredo A. Kalaitzis

Stat. Comput., 2015

2013

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

Ricardo Bezerra de Andrade e Silva

Proceedings of the Statistical Models for Data Analysis, 2013

Flexible Sampling for the Gaussian Copula Extended Rank Likelihood Model.

Alfredo A. Kalaitzis, Ricardo Bezerra de Andrade e Silva

CoRR, 2013

Flexible sampling of discrete data correlations without the marginal distributions.

Alfredo A. Kalaitzis, Ricardo Bezerra de Andrade e Silva

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Latent Composite Likelihood Learning for the Structured Canonical Correlation Model

Ricardo Bezerra de Andrade e Silva

CoRR, 2012

2011

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

Jiji Zhang, Ricardo Bezerra de Andrade e Silva

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Mixed Cumulative Distribution Networks.

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

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

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

Bioinform., 2011

Thinning Measurement Models and Questionnaire Design.

Ricardo Bezerra de Andrade e Silva

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Causality.

Ricardo Bezerra de Andrade e Silva

Proceedings of the Encyclopedia of Machine Learning, 2010

Gaussian Process Structural Equation Models with Latent Variables

Ricardo Bezerra de Andrade e Silva

CoRR, 2010

Measuring Latent Causal Structure

Ricardo Bezerra de Andrade e Silva

CoRR, 2010

Gaussian Process Structural Equation Models with Latent Variables.

Ricardo Bezerra de Andrade e Silva, Robert B. Gramacy

Proceedings of the UAI 2010, 2010

2009

Factorial Mixture of Gaussians and the Marginal Independence Model.

Ricardo Bezerra de Andrade e Silva, Zoubin Ghahramani

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

MCMC Methods for Bayesian Mixtures of Copulas.

Ricardo Bezerra de Andrade e Silva, Robert B. Gramacy

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

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

Ricardo Bezerra de Andrade e Silva, Zoubin Ghahramani

J. Mach. Learn. Res., 2009

Ranking Relations using Analogies in Biological and Information Networks

Ricardo Bezerra de Andrade e Silva, Katherine A. Heller, Zoubin Ghahramani, Edoardo M. Airoldi

CoRR, 2009

2007

Analogical Reasoning with Relational Bayesian Sets.

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

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Hidden Common Cause Relations in Relational Learning.

Ricardo Bezerra de Andrade e Silva, Wei Chu, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

Learning the Structure of Linear Latent Variable Models.

Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes

J. Mach. Learn. Res., 2006

Bayesian Inference for Gaussian Mixed Graph Models.

Ricardo Bezerra de Andrade e Silva, Zoubin Ghahramani

Proceedings of the UAI '06, 2006

Towards Association Rules with Hidden Variables.

Ricardo Bezerra de Andrade e Silva, Richard Scheines

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Bayesian learning of measurement and structural models.

Ricardo Bezerra de Andrade e Silva, Richard Scheines

Proceedings of the Machine Learning, 2006

2005

Probabilistic workflow mining.

Ricardo Bezerra de Andrade e Silva, Jiji Zhang, James G. Shanahan

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

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

Ricardo Bezerra de Andrade e Silva, Richard Scheines

Proceedings of the Machine Learning, 2005

2003

Learning Measurement Models for Unobserved Variables.

Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes

Proceedings of the UAI '03, 2003

2002

Classification and filtering of spectra: A case study in mineralogy.

Jonathan Moody, Ricardo Bezerra de Andrade e Silva, Joseph Vanderwaart, Joseph D. Ramsey, Clark Glymour

Intell. Data Anal., 2002

2001

Hybrid systems of local basis functions.

Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir

Intell. Data Anal., 2001

Data filtering for automatic classification of rocks from reflectance spectra.

Jonathan Moody, Ricardo Bezerra de Andrade e Silva, Joseph Vanderwaart

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

2000

Obtaining Simplified Rule Bases by Hybrid Learning.

Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Neural network methods for rule induction.

Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir

Proceedings of the International Joint Conference Neural Networks, 1999