Marc Finthammer

发表

Extending and Completing Probabilistic Knowledge and Beliefs Without Bias

Nico Potyka, Christoph Beierle, Gabriele Kern-Isberner, 2015, KI - Künstliche Intelligenz.

Experiments on Lexical Chaining for German Corpora: Annotation, Extraction, and Application

Irene M. Cramer, Marc Finthammer, Alexander Kurek, 2008, J. Lang. Technol. Comput. Linguistics.

Resolving Inconsistencies in Probabilistic Knowledge Bases

Gabriele Kern-Isberner, Marc Finthammer, Manuela Ritterskamp, 2007, KI.

Comparing and Evaluating Approaches to Probabilistic Reasoning: Theory, Implementation, and Applications

Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, 2012, Trans. Large Scale Data Knowl. Centered Syst..

Probabilistic Reasoning at Optimum Entropy with the MEcore System

Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, 2009, FLAIRS Conference.

Mining Default Rules from Statistical Data

Gabriele Kern-Isberner, Marc Finthammer, Matthias Thimm, 2009, FLAIRS.

An Implementation of Belief Change Operations Based on Probabilistic Conditional Logic

Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, 2009, LPNMR.

An Iterative Scaling Algorithm for Maximum Entropy Reasoning in Relational Probabilistic Conditional Logic

Marc Finthammer, 2012, SUM.

A Generalized Iterative Scaling Algorithm for Maximum Entropy Model Computations Respecting Probabilistic Independencies

Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, 2018, FoIKS.

Qualitative Knowledge Discovery

Gabriele Kern-Isberner, Marc Finthammer, Matthias Thimm, 2008, SDKB.

Stop-transitions of Petri Nets

Marc Finthammer, Jörg Desel, 2020, Fundam. Informaticae.

Cycl$\mathbf {\circlearrowright }$n - A Tool for Determining Stop-Transitions of Petri Nets

Marc Finthammer, Jörg Desel, Andrea Frank, 2020, Petri Nets.

Concepts and Algorithms for Computing Maximum Entropy Distributions for Knowledge Bases with Relational Probabilistic Conditionals

Marc Finthammer, 2018, KI - Künstliche Intelligenz.

A Software System for the Computation, Visualization, and Comparison of Conditional Structures for Relational Probabilistic Knowledge Bases

Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, 2015, FLAIRS Conference.

Towards a More Efficient Computation of Weighted Conditional Impacts for Relational Probabilistic Knowledge Bases Under Maximum Entropy Semantics

Christoph Beierle, Marc Finthammer, 2015, KI.

First-Order Typed Model Counting for Probabilistic Conditional Reasoning at Maximum Entropy

Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, 2017, SUM.

A Case Study on the Application of Probabilistic Conditional Modelling and Reasoning to Clinical Patient Data in Neurosurgery

Nico Potyka, Christoph Beierle, Gabriele Kern-Isberner, 2013, ECSQARU.

Biomedical Diagnosis Based on Ion Mobility Spectrometry - A Case Study Using Probabilistic Relational Modelling and Learning

Christoph Beierle, Marc Finthammer, Ryszard Masternak, 2012, IPMU.

A generalized iterative scaling algorithm for maximum entropy reasoning in relational probabilistic conditional logic under aggregation semantics

Marc Finthammer, 2012 .

On the Relationship Between Aggregating Semantics and FO-PCL Grounding Semantics for Relational Probabilistic Conditionals

Christoph Beierle, Marc Finthammer, 2016, Computational Models of Rationality.

Evaluation and Comparison Criteria for Approaches to Probabilistic Relational Knowledge Representation

Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, 2011, KI.

Automated Reasoning for Relational Probabilistic Knowledge Representation

Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, 2010, IJCAR.

Relational Probabilistic Conditionals and Their Instantiations under Maximum Entropy Semantics for First-Order Knowledge Bases

Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, 2015, Entropy.

Using probabilistic relational learning to support bronchial carcinoma diagnosis based on ion mobility spectrometry

Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, 2010 .

Exploring and Navigating: Tools for GermaNet

Irene M. Cramer, Marc Finthammer, Marc Finthammer, 2008, LREC.

An integrated development environment for probabilistic relational reasoning

Marc Finthammer, Matthias Thimm, Matthias Thimm, 2012, Log. J. IGPL.

Integrating Typed Model Counting into First-Order Maximum Entropy Computations and the Connection to Markov Logic Networks

Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, 2019, FLAIRS Conference.

A System for Relational Probabilistic Reasoning on Maximum Entropy

Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, 2010, FLAIRS.

How to Exploit Parametric Uniformity for Maximum Entropy Reasoning in a Relational Probabilistic Logic

Christoph Beierle, Marc Finthammer, 2012, JELIA.

A Two-Level Approach to Maximum Entropy Model Computation for Relational Probabilistic Logic Based on Weighted Conditional Impacts

Christoph Beierle, Marc Finthammer, 2014, SUM.

Towards Lifted Inference Under Maximum Entropy for Probabilistic Relational FO-PCL Knowledge Bases

Nico Potyka, Christoph Beierle, Marc Finthammer, 2015, ECSQARU.

Towards a Toolbox for Relational Probabilistic Knowledge Representation, Reasoning, and Learning

Marc Finthammer, Matthias Thimm, Sebastian Loh, 2009 .

Probabilistic Logics in Expert Systems: Approaches, Implementations, and Applications

Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, 2011, DEXA.

Instantiation Restrictions for Relational Probabilistic Conditionals

Christoph Beierle, Marc Finthammer, 2012, SUM.

Using Equivalences of Worlds for Aggregation Semantics of Relational Conditionals

Christoph Beierle, Marc Finthammer, 2012, KI.

Tools for exploring GermaNet in the context of cl-teaching

Irene M. Cramer, Marc Finthammer, 2008, KONVENS.

Probabilistic Relational Learning for Medical Diagnosis Based on Ion Mobility Spectrometry

Christoph Beierle, Gabriele Kern-Isberner, Marc Finthammer, 2010, IPMU.