Cassio Polpo de Campos

发表

Constraints on priors and on estimations for learning Bayesian network parameters

Q. Ji, Cassio Polpo de Campos, 2008 .

The Inferential Complexity of Bayesian and Credal Networks

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2005, IJCAI.

Multilinear and integer programming for markov decision processes with imprecise probabilities

Ricardo Shirota Filho, Felipe W. Trevizan, F. Cozman, 2007 .

Cassio Polpo de Campos, Alessandro Antonucci, 2011, 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics.

Semi-Qualitative Probabilistic Networks in Computer Vision Problems

Qiang Ji, Lei Zhang, Yan Tong, 2009 .

Computing with Sets of Probability Measures

Fabio Gagliardi Cozman, Cassio Polpo de Campos, J. C. F. D. Rocha, 2002 .

Uma ferramenta para otimização multilinear

Cassio Polpo de Campos, Renato Lucindo, 2006 .

Robustifying sum-product networks

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2018, Int. J. Approx. Reason..

Hidden Markov models with set-valued parameters

Denis Deratani Mauá, Alessandro Antonucci, Cassio Polpo de Campos, 2016, Neurocomputing.

Prognostic impact of monocyte count at presentation in mantle cell lymphoma – response to George et al

Cassio Polpo de Campos, E. Zucca, A. Conconi, 2014, British journal of haematology.

A Fully Polynomial Time Approximation Scheme for Updating Credal Networks of Bounded Treewidth and Number of Variable States

Marco Zaffalon, Cassio Polpo de Campos, 2011 .

Approximate structure learning for large Bayesian networks

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2018, Machine Learning.

Partially Ordered Preferences in Decision Trees: Computing Strategies with Imprecision in Probabilities

Fabio Gagliardi Cozman, Cassio Polpo de Campos, Daniel Kikuti, 2005, IJCAI 2005.

A Structured View on Weighted Counting with Relations to Counting, Quantum Computation and Applications pdf

Cassio Polpo de Campos, Dennis Weyland, Georgios Stamoulis, 2017, Inf. Comput..

Probabilistic logic with independence

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2008, Int. J. Approx. Reason..

Probabilistic graphical models

Marco Zaffalon, Alessandro Antonucci, Cassio Polpo de Campos, 2014 .

Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitat

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Jaime Shinsuke Ide, 2004, UAI.

Probabilistic Inference in Credal Networks: New Complexity Results

Denis Deratani Mauá, Alessio Benavoli, Alessandro Antonucci, 2014, J. Artif. Intell. Res..

Bayesian network data imputation with application to survival tree analysis

Marco Zaffalon, Francesco Bertoni, Cassio Polpo de Campos, 2016, Comput. Stat. Data Anal..

Prognostic impact of monocyte count at presentation in mantle cell lymphoma

F. Cavalli, M. Ghielmini, Cassio Polpo de Campos, 2013, British journal of haematology.

Ordering Quantiles through Confidence Statements

Cassio Polpo de Campos, Paola M. V. Rancoita, Carlos Alberto De Bragança Pereira, 2016, Entropy.

Fast and Robust Segmentation of Copy Number Profiles Using Multi-Scale Edge Detection

Francesco Bertoni, Andrea Rinaldi, Ivo W Kwee, 2016, bioRxiv.

Assembling a consistent set of sentences in relational probabilistic logic with stochastic independence

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, José Eduardo Ochoa Luna, 2009, J. Appl. Log..

Efficient Structure Learning of Bayesian Networks using Constraints

Qiang Ji, Cassio Polpo de Campos, Q. Ji, 2011, J. Mach. Learn. Res..

The Complexity of MAP Inference in Bayesian Networks Specified Through Logical Languages

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2015, IJCAI.

Approximate credal network updating by linear programming with applications to decision making

Marco Zaffalon, Alessandro Antonucci, Cassio Polpo de Campos, 2015, Int. J. Approx. Reason..

A tree augmented classifier based on Extreme Imprecise Dirichlet Model

Giorgio Corani, Cassio Polpo de Campos, Giorgio Corani, 2010, Int. J. Approx. Reason..

Generalized loopy 2U: A new algorithm for approximate inference in credal networks

Yi Sun, Marco Zaffalon, Alessandro Antonucci, 2010, Int. J. Approx. Reason..

Inference from Multinomial Data Based on a MLE-Dominance Criterion

Alessio Benavoli, Cassio Polpo de Campos, Cassio Polpo de Campos, 2009, ECSQARU.

Inference in Polytrees with Sets of Probabilities pdf

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2002, UAI.

Probabilistic Logic with Strong Independence

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2006, IBERAMIA-SBIA.

A Review of Unsupervised and Semi-supervised Blocking Methods for Record Linkage

Anna Jurek-Loughrey, Kevin O’Hare, Cassio Polpo de Campos, 2018, Unsupervised and Semi-Supervised Learning.

Kuznetsov independence for interval-valued expectations and sets of probability distributions: Properties and algorithms

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2014, Int. J. Approx. Reason..

Inference with Multinomial Data: Why to Weaken the Prior Strength

Alessio Benavoli, Cassio Polpo de Campos, Cassio Polpo de Campos, 2011, IJCAI.

Credal Sum-Product Networks

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2017, ISIPTA.

Efficient learning of Bayesian networks with bounded tree-width

Qiang Ji, Cassio Polpo de Campos, Siqi Nie, 2017, Int. J. Approx. Reason..

Global Sensitivity Analysis for MAP Inference in Graphical Models

Alessandro Antonucci, Cassio Polpo de Campos, Jasper De Bock, 2014, NIPS.

Improving Bayesian Network parameter learning using constraints

Qiang Ji, Cassio Polpo de Campos, Q. Ji, 2008, 2008 19th International Conference on Pattern Recognition.

Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition

Qiang Ji, Yan Tong, Cassio Polpo de Campos, 2008, ECCV.

On the complexity of solving polytree-shaped limited memory influence diagrams with binary variables

Denis Deratani Mauá, Marco Zaffalon, Cassio Polpo de Campos, 2013, Artif. Intell..

Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2016, NIPS.

Averaged Extended Tree Augmented Naive Classifier

Cassio Polpo de Campos, Aaron Meehan, Cassio Polpo de Campos, 2015, Entropy.

Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks

Marco Zaffalon, Cassio Polpo de Campos, Mauro Scanagatta, 2014, Probabilistic Graphical Models.

Bayesian Networks and the Imprecise Dirichlet Model Applied to Recognition Problems

Qiang Ji, Cassio Polpo de Campos, Q. Ji, 2011, ECSQARU.

Bayesian Dependence Tests for Continuous, Binary and Mixed Continuous-Binary Variables

Alessio Benavoli, Cassio Polpo de Campos, Cassio Polpo de Campos, 2016, Entropy.

Joint Analysis of Multiple Algorithms and Performance Measures

Alessio Benavoli, Cassio Polpo de Campos, Cassio Polpo de Campos, 2016, New Generation Computing.

Learning Bayesian Networks with Incomplete Data by Augmentation

Cassio Polpo de Campos, Tameem Adel, Cassio Polpo de Campos, 2016, AAAI.

Learning Bayesian Networks with Thousands of Variables

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2015, NIPS.

Structure learning of Bayesian networks using constraints

Qiang Ji, Zhi Zeng, Cassio Polpo de Campos, 2009, ICML '09.

Strategy Selection in Influence Diagrams using Imprecise Probabilities

Qiang Ji, Cassio Polpo de Campos, Q. Ji, 2008, UAI.

Solving Decision Problems with Limited Information

Denis Deratani Mauá, Cassio Polpo de Campos, Cassio Polpo de Campos, 2011, NIPS.

Solving Limited Memory Influence Diagrams

Denis Deratani Mauá, Marco Zaffalon, Cassio Polpo de Campos, 2011, J. Artif. Intell. Res..

Extended Tree Augmented Naive Classifier

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2014, Probabilistic Graphical Models.

Computing lower and upper expectations under epistemic independence

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2007, Int. J. Approx. Reason..

Belief Updating and Learning in Semi-Qualitative Probabilistic Networks

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2005, UAI.

Local Computation in Credal Networks

Fabio Gagliardi Cozman, Cassio Polpo de Campos, Cassio Polpo de Campos, 2004 .

Entropy-based Pruning for Learning Bayesian Networks using BIC

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2017, Artif. Intell..

Learning Bayesian Networks with Bounded Tree-width via Guided Search

Qiang Ji, Cassio Polpo de Campos, Siqi Nie, 2016, AAAI.

Advances in Learning Bayesian Networks of Bounded Treewidth pdf

Qiang Ji, Denis Deratani Mauá, Cassio Polpo de Campos, 2014, NIPS.

Probabilistic graphical models

Marco Zaffalon, Cassio Polpo de Campos, Alessandro Antonucci, 2014 .

On the Complexity of Strong and Epistemic Credal Networks pdf

Denis Deratani Mauá, Alessio Benavoli, Alessandro Antonucci, 2013, UAI.

New Results for the MAP Problem in Bayesian Networks pdf

Cassio Polpo de Campos, Cassio Polpo de Campos, 2010, ArXiv.

Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks pdf

Denis Deratani Mauá, Cassio Polpo de Campos, Diarmaid Conaty, 2017, UAI.

Updating credal networks is approximable in polynomial time

Denis Deratani Mauá, Marco Zaffalon, Cassio Polpo de Campos, 2012, Int. J. Approx. Reason..

Properties of Bayesian Dirichlet Scores to Learn Bayesian Network Structures

Qiang Ji, Cassio Polpo de Campos, Q. Ji, 2010, AAAI.