Volume 73: Advanced Methodologies for Bayesian Networks, 20-22 September 2017,


Editors: Antti Hyttinen, Joe Suzuki, Brandon Malone




Advanced Methodologies for Bayesian Networks 2017: Preface

Joe Suzuki, Antti Hyttinen, Brandon Malone; PMLR 73:1-2

Invited Papers

Backoff methods for estimating parameters of a Bayesian network

Wray Buntine; PMLR 73:3-3

Causal Learning and Machine Learning

Kun Zhang; PMLR 73:4-4

Learning probability by comparison

Taisuke Sato; PMLR 73:5-5

Analyzing Tandem Mass Spectra: A Graphical Models Perspective

John T. Halloran; PMLR 73:6-6

Hyperparameter sensitivity revisited

Tomi Silander; PMLR 73:7-7

Dirichlet Bayesian Network Scores and the Maximum Entropy Principle

Marco Scutari; PMLR 73:8-20

Contributed Papers

Causal Effect Identification in Alternative Acyclic Directed Mixed Graphs

Jose M. Peña; PMLR 73:21-32

Learning Causal AMP Chain Graphs

Jose M. Peña; PMLR 73:33-44

Improved Local Search in Bayesian Networks Structure Learning

Mauro Scanagatta, Giorgio Corani, Marco Zaffalon; PMLR 73:45-56

Consistent Learning Bayesian Networks with Thousands of Variables

Kazuki Natori, Masaki Uto, Maomi Ueno; PMLR 73:57-68

An Experimental Analysis of Anytime Algorithms for Bayesian Network Structure Learning

Colin Lee, Peter van Beek; PMLR 73:69-80

Multiple DAGs Learning with Non-negative Matrix Factorization

Yun Zhou, Jiang Wang, Cheng Zhu, Weiming Zhang; PMLR 73:81-92

Learning Bayesian Network Parameters with Domain Knowledge and Insufficient Data

Zhigao Guo, Xiaoguang Gao, Ruohai Di; PMLR 73:93-104

Incorporating Uncertain Evidence Into Arithmetic Circuits Representing Probability Distributions

Hei Chan; PMLR 73:105-116

Fast Message Passing Algorithm Using ZDD-Based Local Structure Compilation

Masakazu Ishihata, Shan Gao, Shin-Ichi Minato; PMLR 73:117-128

Fast Compilation of s-t Paths on a Graph for Counting and Enumeration

Norihito Yasuda, Teruji Sugaya, Shin-Ichi Minato; PMLR 73:129-140

Reducing the Cost of Probabilistic Knowledge Compilation

Giso H. Dal, Steffen Michels, Peter J. F. Lucas; PMLR 73:141-152

On the Sizes of Decision Diagrams Representing the Set of All Parse Trees of a Context-free Grammar

Masaaki Nishino, Kei Amii, Akihiro Yamamoto; PMLR 73:153-164

Hidden Node Detection between Two Observable Nodes Based on Bayesian Clustering

Keisuke Yamazaki, Yoichi Motomura; PMLR 73:165-175

Few-to-few Cross-domain Object Matching

Aditya Jitta, Arto Klami; PMLR 73:176-187

Restricted Quasi Bayesian Networks as a Prototyping Tool for Computational Models of Individual Cortical Areas

Naoto Takahashi, Yuuji Ichisugi; PMLR 73:188-199

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