Oliver Schulte

Wang Zhu

Qingcan Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Model Trees for Identifying Exceptional Players in the NHL and NBA Drafts.

[BibT_eX]

[DOI]

Yejia Liu

Chao Li

Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation.

[BibT_eX]

[DOI]

Guiliang Liu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Image Caption Generation With Hierarchical Contextual Visual Spatial Attention.

[BibT_eX]

[DOI]

Mahmoud Khademi

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Dynamic Gated Graph Neural Networks for Scene Graph Generation.

[BibT_eX]

[DOI]

Mahmoud Khademi

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

A Markov Game model for valuing actions, locations, and team performance in ice hockey.

[BibT_eX]

[DOI]

Mehrsan Javan Roshtkhari

Philippe Desaulniers

Data Min. Knowl. Discov., 2017

Locally Consistent Bayesian Network Scores for Multi-Relational Data.

[BibT_eX]

[DOI]

Sajjad Gholami

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Biased penalty calls in the National Hockey League.

[BibT_eX]

[DOI]

David Beaudoin

Tim B. Swartz

Stat. Anal. Data Min., 2016

Fast learning of relational dependency networks.

[BibT_eX]

[DOI]

Arthur E. Kirkpatrick

Xiaoqian Yin

Yan Sun

Mach. Learn., 2016

Propositionalization for Unsupervised Outlier Detection in Multi-Relational Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

2015

FactorBase: SQL for Learning A Multi-Relational Graphical Model.

[BibT_eX]

[DOI]

CoRR, 2015

SQL for SRL: Structure Learning Inside a Database System.

[BibT_eX]

[DOI]

CoRR, 2015

The CTU Prague Relational Learning Repository.

[BibT_eX]

[DOI]

Jan Motl

CoRR, 2015

A Markov Game Model for Valuing Player Actions in Ice Hockey.

[BibT_eX]

[DOI]

Kurt Routley

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Model-Based Outlier Detection for Object-Relational Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

What is the Value of an Action in Ice Hockey? Q-Learning for the NHL.

[BibT_eX]

[DOI]

Zeyu Zhao

Kurt Routley

Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2015 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), 2015

FactorBase : Multi-relational model learning with SQL all the way.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Modelling relational statistics with Bayes Nets.

[BibT_eX]

[DOI]

Arthur E. Kirkpatrick

Tianxiang Gao

Yuke Zhu

Mach. Learn., 2014

Computing Multi-Relational Sufficient Statistics for Large Databases.

[BibT_eX]

[DOI]

Yan Sun

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Aggregating predictions vs. aggregating features for relational classification.

[BibT_eX]

[DOI]

Kurt Routley

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

A Proposal for Statistical Outlier Detection in Relational Structures.

[BibT_eX]

[DOI]

Qing Li

Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013

The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2013

Simple decision forests for multi-relational classification.

[BibT_eX]

[DOI]

Decis. Support Syst., 2013

Learning Bayes Nets for Relational Data with Link Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Graph Structures for Knowledge Representation and Reasoning, 2013

A hierarchy of independence assumptions for multi-relational Bayes net classifiers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

Transaction-based link strength prediction in a social network.

[BibT_eX]

[DOI]

Ali Bozorgkhan

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

Identifying Important Nodes in Heterogenous Networks.

[BibT_eX]

[DOI]

Qing Li

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012

Learning directed relational models with recursive dependencies.

[BibT_eX]

[DOI]

Tong Man

Mach. Learn., 2012

Learning graphical models for relational data via lattice search.

[BibT_eX]

[DOI]

Mach. Learn., 2012

Learning compact Markov logic networks with decision trees.

[BibT_eX]

[DOI]

Mach. Learn., 2012

Random Regression for Bayes Nets Applied to Relational Data.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

2011

A Tractable Pseudo-Likelihood Function for Bayes Nets Applied to Relational Data.

[BibT_eX]

[DOI]

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Deidentification within Unstructured Medical Records.

[BibT_eX]

[DOI]

Verónica Dahl

Sara Saghaei

Proceedings of the Biology, Computation and Linguistics - New Interdisciplinary Paradigms, 2011

2010

Evolutionary equilibrium in Bayesian routing games: Specialization and niche formation.

[BibT_eX]

[DOI]

Petra Berenbrink

Theor. Comput. Sci., 2010

Mind change optimal learning of Bayes net structure from dependency and independency data.

[BibT_eX]

[DOI]

Wei Luo

Russell Greiner

Inf. Comput., 2010

Discovery of Conservation Laws via Matrix Search.

[BibT_eX]

[DOI]

Mark S. Drew

Proceedings of the Discovery Science - 13th International Conference, 2010

The IMAP Hybrid Method for Learning Gaussian Bayes Nets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2010

Structure Learning for Markov Logic Networks with Many Descriptive Attributes.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Simultaneous Discovery of Conservation Laws and Hidden Particles with Smith Matrix Decomposition.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2009, 2009

LNBC: A Link-Based Naive Bayes Classifier.

[BibT_eX]

[DOI]

Bahareh Bina

Proceedings of the ICDM Workshops 2009, 2009

A new hybrid method for Bayesian network learning With dependency constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

2008

Join Bayes Nets: A new type of Bayes net for relational data

[BibT_eX]

[DOI]

CoRR, 2008

2007

Logically Reliable Inductive Inference.

[BibT_eX]

[DOI]

Proceedings of the Induction, Algorithmic Learning Theory, and Philosophy, 2007

Association Rules in the Relational Calculus

[BibT_eX]

[DOI]

CoRR, 2007

The minimum consistent subset cover problem and its applications in data mining.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Mind Change Optimal Learning of Bayes Net Structure.

[BibT_eX]

[DOI]

Wei Luo

Russell Greiner

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006

Mind change efficient learning.

[BibT_eX]

[DOI]

Wei Luo

Inf. Comput., 2006

2004

Representing von Neumann-Morgenstern Games in the Situation Calculus.

[BibT_eX]

[DOI]

James P. Delgrande

Ann. Math. Artif. Intell., 2004

2003

Iterated backward inference: an algorithm for proper rationalizability.

[BibT_eX]

[DOI]

Proceedings of the 9th Conference on Theoretical Aspects of Rationality and Knowledge (TARK-2003), 2003

2001

Knowledge and Planning in an Action-Based Multi-agent Framework: A Case Study.

[BibT_eX]

[DOI]

Bradley Bart

James P. Delgrande

Proceedings of the Advances in Artificial Intelligence, 2001

1999

Minimal Belief Change and the Pareto Principle.

[BibT_eX]

[DOI]

Synth., 1999

The Logic Of Reliable And Efficient Inquiry.

[BibT_eX]

[DOI]

J. Philos. Log., 1999

Minimal Belief Change and Pareto-Optimality.

[BibT_eX]

[DOI]