- Logically Reliable Inductive Inference Oliver Schulte
- Join Bayes Nets: A new type of Bayes net for relational data Oliver Schulte, Hassan Khosravi, Flavia Moser, Martin Ester
- KEVIN T . KELLY AND OLIVER SCHULTE CHURCH'S THESIS AND HUME'S PROBLEM
- Association Rules in the Relational Calculus Oliver Schulte, Flavia Moser, Martin Ester and Zhiyong Lu
- A New Hybrid Method for Bayesian Network Learning With Dependency Constraints
- Discovery of Conservation Laws via Matrix Oliver Schulte and Mark S. Drew
- arXiv:hep-ph/0602011v220Apr2007 Algorithmic Derivation of Additive Selection Rules and Particle
- Join Bayes Nets: A New Type of Bayes net for Relational Data Oliver Schulte
- The Imap Hybrid Method for Learning Gaussian Bayes Nets Full Version
- Harman, G. and Kulkarni, S. Reliable Reasoning: Induction and Statistical Learning Theory. The MIT Press, London, England, 2007. x + 108 pp, $30.00/18.95, ISBN
- The Co-Discovery of Conservation Laws and Particle Families
- How do the Harper and Levi Identities Constrain Belief Change?
- Information and Computation 204 (2006) 9891011 www.elsevier.com/locate/ic
- Annals of Mathematics and Artificial Intelligence 42: 73101, 2004. 2004 Kluwer Academic Publishers. Printed in the Netherlands.
- Economic Theory 19, 105144 (2002) Minimal belief change, Pareto-optimality
- Inferring Conservation Laws in Particle Physics: A Case Study in the Problem of Induction
- Means-Ends Rationality and Categorical Imperatives in Empirical Inquiry
- Minimal Belief Change and the Pareto Principle Oliver Schulte
- Minimal Belief Change and Pareto-Optimality Oliver Schulte
- Means-Ends Epistemology Oliver Schulte
- Common Reasoning About Admissibility Cristina Bicchieri
- Epistemology, Reliable Inquiry and Topology Oliver Schulte
- What To Believe and What To Take Seriously: A Reply to David Chart concerning the Riddle of Induction
- Simultaneous Discovery of Conservation Laws and Hidden Particles With Smith Matrix Decomposition
- Mind Change Optimal Learning of Bayes Net Structure Oliver Schulte1
- The IMAP Hybrid Method for Learning Gaussian Bayes Nets
- Structure Learning for Markov Logic Networks with Many Descriptive Attributes Hassan Khosravi and Oliver Schulte
- A Tractable Pseudo-Likelihood Function for Bayes Nets Applied to Relational Data
- Author's personal copy Theoretical Computer Science 411 (2010) 10541074
- How Particle Physics Cut Nature At Its Joints Oliver Schulte
- Mind Change Efficient Learning Wei Luo and Oliver Schulte
- Knowledge and Planning in an Action-Based Multi-Agent Framework: A Case Study
- Information and Computation 208 (2010)6382 Contents lists available at ScienceDirect
- Respect for Public Preferences and Iterated Backward Inference
- The Logic of Reliable and Efficient Inquiry Oliver Schulte
- The Minimum Consistent Subset Cover Problem and its Applications in Data Mining
- KEVIN KELLY , OLIVER SCHULTE , VINCENT HENDRICKS RELIABLE BELIEF REVISION
- KEVIN T . KELLY AND OLIVER SCHULTE CHURCH'S THESIS AND HUME'S PROBLEM
- The IMAP Hybrid Method for Learning Gaussian Bayes Nets
- Means-Ends Epistemology Oliver Schulte
- How do the Harper and Levi Identities Constrain Belief Change?
- The Logic of Reliable and Efficient Inquiry Oliver Schulte
- Discovery of Conservation Laws via Matrix Oliver Schulte and Mark S. Drew
- Epistemology, Reliable Inquiry and Topology Oliver Schulte
- Mind Change Optimal Learning of Bayes Net Structure Oliver Schulte1
- Structure Learning for Markov Logic Networks with Many Descriptive Attributes Hassan Khosravi and Oliver Schulte
- Information and Computation 208 (2010)6382 Contents lists available at ScienceDirect
- Simultaneous Discovery of Conservation Laws and Hidden Particles With Smith Matrix Decomposition
- Knowledge and Planning in an Action-Based Multi-Agent Framework: A Case Study
- Means-Ends Rationality and Categorical Imperatives in Empirical Inquiry
- A Tractable Pseudo-Likelihood Function for Bayes Nets Applied to Relational Data
- A New Hybrid Method for Bayesian Network Learning With Dependency Constraints
- Economic Theory 19, 105144 (2002) Minimal belief change, Pareto-optimality
- Join Bayes Nets: A New Type of Bayes net for Relational Data Oliver Schulte
- Mind Change Efficient Learning Wei Luo and Oliver Schulte
- Respect for Public Preferences and Iterated Backward Inference
- How Particle Physics Cut Nature At Its Joints Oliver Schulte
- Learning Directed Relational Models With Recursive Dependencies
- Logically Reliable Inductive Inference Oliver Schulte
- 1122 Winter/hiver 2006 ACADEMIC MATTERS Les auteurs documentent l'utilisation des technologies en ligne par les universitaires et
- Harman, G. and Kulkarni, S. Reliable Reasoning: Induction and Statistical Learning Theory. The MIT Press, London, England, 2007. x + 108 pp, $30.00/18.95, ISBN
- Information and Computation 204 (2006) 9891011 www.elsevier.com/locate/ic
- Minimal Belief Change and Pareto-Optimality Oliver Schulte
- Author's personal copy Theoretical Computer Science 411 (2010) 10541074
- What To Believe and What To Take Seriously: A Reply to David Chart concerning the Riddle of Induction
- arXiv:hep-ph/0602011v220Apr2007 Algorithmic Derivation of Additive Selection Rules and Particle
- Annals of Mathematics and Artificial Intelligence 42: 73101, 2004. 2004 Kluwer Academic Publishers. Printed in the Netherlands.
- Inferring Conservation Laws in Particle Physics: A Case Study in the Problem of Induction
- Machine Learning manuscript No. (will be inserted by the editor)
- Minimal Belief Change and the Pareto Principle Oliver Schulte
- The Co-Discovery of Conservation Laws and Particle Families
- Common Reasoning About Admissibility Cristina Bicchieri
- The Minimum Consistent Subset Cover Problem and its Applications in Data Mining
