Papers
Privacy Sensitive Construction of Junction Tree Agent Organization for Multiagent Graphical Models
Yang Xiang, Abdulrahman Alshememry
Learning Bayesian Networks by Branching on Constraints
Thijs van Ommen
Naive Bayesian Classifiers with Extreme Probability Features
Linda C. van der Gaag, Andrea Capotorti
A Lattice Representation of Independence Relations
Linda C. van der Gaag, Marco Baioletti, Janneke H. Bolt
Forward-Backward Splitting for Time-Varying Graphical Models
Federico Tomasi, Veronica Tozzo, Alessandro Verri et al.
Representations of Bayesian networks by low-rank models
Petr Tichavský, Jiří Vomlel
Finding Optimal Bayesian Networks with Local Structure
Topi Talvitie, Ralf Eggeling, Mikko Koivisto
Exact learning augmented naive Bayes classifier
Shouta Sugahara, Masaki Uto, Maomi Ueno
Formal Verification of Bayesian Network Classifiers
Andy Shih, Arthur Choi, Adnan Darwiche
Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms?
Marco Scutari, Catharina Elisabeth Graafland, José Manuel Gutiérrez
Differential networking with path weights in Gaussian trees
Alberto Roverato, Robert Castelo
Discrete model-based clustering with overlapping subsets of attributes
Fernando Rodriguez-Sanchez, Pedro Larrañaga, Concha Bielza
Circular Chain Classifiers
Jesús Joel Rivas, Felipe Orihuela-Espina, Luis Enrique Succar
Discriminative Training of Sum-Product Networks by Extended Baum-Welch
Abdullah Rashwan, Pascal Poupart, Chen Zhitang
Learning Optimal Causal Graphs with Exact Search
Kari Rantanen, Antti Hyttinen, Matti Järvisalo
Approximating the maximum weighted decomposable graph problem with applications to probabilistic graphical models
Aritz Pérez, Christian Blum, Jose A. Lozano
Unifying DAGs and UGs
Jose M. Peña
Intervals of Causal Effects for Learning Causal Graphical Models
Samuel Montero-Hernandez, Felipe Orihuela-Espina, Luis Enrique Sucar
Consistent Estimation given Missing Data
Karthika Mohan, Judea Pearl
Learning Bayesian network classifiers with completed partially directed acyclic graphs
Bojan Mihaljević, Concha Bielza, Pedro Larrañaga
Simple Propagation with Arc-Reversal in Bayesian Networks
Anders Madsen, Cory J. Butz, Jhonatan S. Oliveira et al.
A Novel Approach to Handle Inference in Discrete Markov Networks with Large Label Sets
Alexander Oliver Mader, Jens Berg, Cristian Lorenz et al.
Making Continuous Time Bayesian Networks More Flexible
Manxia Liu, Fabio Stella, Arjen Hommersom et al.