Oliver Schulte

According to our database1, Oliver Schulte authored at least 60 papers between 1998 and 2018.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

On csauthors.net:

Bibliography

2018
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees.
CoRR, 2018

Inference, Learning, and Population Size: Projectivity for SRL Models.
CoRR, 2018

Model-based Exception Mining for Object-Relational Data.
CoRR, 2018

Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation.
CoRR, 2018

Model Trees for Identifying Exceptional Players in the NHL Draft.
CoRR, 2018

Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
A Markov Game model for valuing actions, locations, and team performance in ice hockey.
Data Min. Knowl. Discov., 2017

Locally Consistent Bayesian Network Scores for Multi-Relational Data.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Biased penalty calls in the National Hockey League.
Statistical Analysis and Data Mining, 2016

Fast learning of relational dependency networks.
Machine Learning, 2016

Propositionalization for Unsupervised Outlier Detection in Multi-Relational Data.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

2015
FactorBase: SQL for Learning A Multi-Relational Graphical Model.
CoRR, 2015

SQL for SRL: Structure Learning Inside a Database System.
CoRR, 2015

The CTU Prague Relational Learning Repository.
CoRR, 2015

A Markov Game Model for Valuing Player Actions in Ice Hockey.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Model-Based Outlier Detection for Object-Relational Data.
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.
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.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
Modelling relational statistics with Bayes Nets.
Machine Learning, 2014

Fast Learning of Relational Dependency Networks.
CoRR, 2014

Computing Multi-Relational Sufficient Statistics for Large Databases.
CoRR, 2014

Computing Multi-Relational Sufficient Statistics for Large Databases.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Aggregating predictions vs. aggregating features for relational classification.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

A Proposal for Statistical Outlier Detection in Relational Structures.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013
The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining.
IEEE Trans. Knowl. Data Eng., 2013

Simple decision forests for multi-relational classification.
Decision Support Systems, 2013

Learning Bayes Nets for Relational Data with Link Uncertainty.
Proceedings of the Graph Structures for Knowledge Representation and Reasoning, 2013

A hierarchy of independence assumptions for multi-relational Bayes net classifiers.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

Transaction-based link strength prediction in a social network.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

Identifying Important Nodes in Heterogenous Networks.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012
Learning directed relational models with recursive dependencies.
Machine Learning, 2012

Learning graphical models for relational data via lattice search.
Machine Learning, 2012

Learning compact Markov logic networks with decision trees.
Machine Learning, 2012

2011
A Tractable Pseudo-Likelihood Function for Bayes Nets Applied to Relational Data.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Learning Directed Relational Models with Recursive Dependencies.
Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Learning Compact Markov Logic Networks with Decision Trees.
Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Deidentification within Unstructured Medical Records.
Proceedings of the Biology, Computation and Linguistics - New Interdisciplinary Paradigms, 2011

2010
Evolutionary equilibrium in Bayesian routing games: Specialization and niche formation.
Theor. Comput. Sci., 2010

Mind change optimal learning of Bayes net structure from dependency and independency data.
Inf. Comput., 2010

Discovery of Conservation Laws via Matrix Search.
Proceedings of the Discovery Science - 13th International Conference, 2010

The IMAP Hybrid Method for Learning Gaussian Bayes Nets.
Proceedings of the Advances in Artificial Intelligence, 2010

Structure Learning for Markov Logic Networks with Many Descriptive Attributes.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Simultaneous Discovery of Conservation Laws and Hidden Particles with Smith Matrix Decomposition.
Proceedings of the IJCAI 2009, 2009

LNBC: A Link-Based Naive Bayes Classifier.
Proceedings of the ICDM Workshops 2009, 2009

A new hybrid method for Bayesian network learning With dependency constraints.
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
CoRR, 2008

2007
Logically Reliable Inductive Inference.
Proceedings of the Induction, Algorithmic Learning Theory, and Philosophy, 2007

Association Rules in the Relational Calculus
CoRR, 2007

The minimum consistent subset cover problem and its applications in data mining.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Evolutionary Equilibrium in Bayesian Routing Games: Specialization and Niche Formation.
Proceedings of the Algorithms, 2007

Mind Change Optimal Learning of Bayes Net Structure.
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006
Mind change efficient learning.
Inf. Comput., 2006

2005
Mind Change Efficient Learning.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

2004
Representing von Neumann-Morgenstern Games in the Situation Calculus.
Ann. Math. Artif. Intell., 2004

2003
Iterated backward inference: an algorithm for proper rationalizability.
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.
Proceedings of the Advances in Artificial Intelligence, 2001

1999
Minimal Belief Change and the Pareto Principle.
Synthese, 1999

The Logic Of Reliable And Efficient Inquiry.
J. Philosophical Logic, 1999

Minimal Belief Change and Pareto-Optimality.
Proceedings of the Advanced Topics in Artificial Intelligence, 1999

1998
Multimodale Registrierung mit effizienten Lernverfahren für neuronale Netze.
Proceedings of the Bildverarbeitung für die Medizin: Algorithmen, 1998


  Loading...