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2020 – today
- 2024
[c25]Marco Wilhelm, Gabriele Kern-Isberner:
Decomposing Constraint Networks for Calculating c-Representations. AAAI 2024: 10740-10747- [c24]Marco Wilhelm
, Lars-Phillip Spiegel, Gabriele Kern-Isberner:
Intrinsic Prioritization in Answer Set Programming Based on an Adapted Notion of Tolerance. FLAIRS 2024 - [c23]Marco Wilhelm, Gabriele Kern-Isberner, Christoph Beierle:
Core c-Representations and c-Core Closure for Conditional Belief Bases. FoIKS 2024: 104-122 - [c22]Christoph Beierle, Lars-Phillip Spiegel, Jonas Haldimann, Marco Wilhelm, Jesse Heyninck, Gabriele Kern-Isberner:
Conditional Splittings of Belief Bases and Nonmonotonic Inference with c-Representations. KR 2024 - [c21]Marco Wilhelm, Alexander Hahn, Gabriele Kern-Isberner:
Extraction of Conditional Belief Bases and the System Z Ranking Model From Multilayer Perceptrons for Binary Classification. NMR 2024: 101-111 - 2023
- [j2]Marco Wilhelm, Diana Howey, Gabriele Kern-Isberner, Kai Sauerwald, Christoph Beierle:
Activation-based Conditional Inference. FLAP 10(2): 221-247 (2023) - [c20]Andre Thevapalan, Marco Wilhelm, Gabriele Kern-Isberner, Pascal Kaiser, Moritz Roidl:
An Interactive Modelling Environment for Designing Warehouse Layouts Based on ASP. FLAIRS 2023 - [c19]Marco Wilhelm, Andre Thevapalan, Gabriele Kern-Isberner:
Prioritizing Answer Sets Based on Conditional Expert Knowledge. FLAIRS 2023 - [c18]Marco Wilhelm, Meliha Sezgin, Gabriele Kern-Isberner, Jonas Haldimann, Christoph Beierle, Jesse Heyninck:
Splitting Techniques for Conditional Belief Bases in the Context of c-Representations. JELIA 2023: 462-477 - [c17]Marco Wilhelm:
Integrating Linear Arithmetic Constraints Into Conditional Maximum Entropy Reasoning. KR 2023: 700-709 - 2022
- [c16]Marco Wilhelm, Diana Howey, Gabriele Kern-Isberner, Kai Sauerwald, Christoph Beierle:
Integrating Cognitive Principles From ACT-R Into Probabilistic Conditional Reasoning by Taking the Example of Maximum Entropy Reasoning. FLAIRS 2022 - 2021
- [c15]Marco Wilhelm, Gabriele Kern-Isberner:
Focused Inference and System P. AAAI 2021: 6522-6529 - [c14]Marco Wilhelm, Diana Howey, Gabriele Kern-Isberner, Kai Sauerwald, Christoph Beierle:
A Brief Introduction Into Activation-Based Conditional Inference. FCR@KI 2021: 4-8 - [i1]Marco Wilhelm, Diana Howey, Gabriele Kern-Isberner, Kai Sauerwald, Christoph Beierle:
Conditional Inference and Activation of Knowledge Entities in ACT-R. CoRR abs/2110.15214 (2021) - 2020
- [c13]Marco Wilhelm, Gabriele Kern-Isberner:
Context-Based Inferences from Probabilistic Conditionals with Default Negation at Maximum Entropy. FLAIRS 2020: 593-598
2010 – 2019
- 2019
- [c12]Marco Wilhelm, Gabriele Kern-Isberner:
Maximum Entropy Calculations for the Probabilistic Description Logic $$\mathcal {ALC}^{\mathsf{ME}}$$. Description Logic, Theory Combination, and All That 2019: 588-609 - [c11]Marco Wilhelm, Gabriele Kern-Isberner, Marc Finthammer, Christoph Beierle:
Integrating Typed Model Counting into First-Order Maximum Entropy Computations and the Connection to Markov Logic Networks. FLAIRS 2019: 494-499 - [c10]Franz Baader, Andreas Ecke, Gabriele Kern-Isberner, Marco Wilhelm:
The Complexity of the Consistency Problem in the Probabilistic Description Logic 𝓐ℒ𝒞ME. FroCos 2019: 167-184 - [c9]Marco Wilhelm, Gabriele Kern-Isberner, Andreas Ecke, Franz Baader:
Counting Strategies for the Probabilistic Description Logic 𝓐ℒ𝒞ME Under the Principle of Maximum Entropy. JELIA 2019: 434-449 - 2018
- [c8]Marco Wilhelm, Gabriele Kern-Isberner, Marc Finthammer, Christoph Beierle:
A Generalized Iterative Scaling Algorithm for Maximum Entropy Model Computations Respecting Probabilistic Independencies. FoIKS 2018: 379-399 - 2017
- [j1]Gabriele Kern-Isberner, Marco Wilhelm, Christoph Beierle:
Probabilistic knowledge representation using the principle of maximum entropy and Gröbner basis theory. Ann. Math. Artif. Intell. 79(1-3): 163-179 (2017) - [c7]Marco Wilhelm, Christian Eichhorn, Richard Niland, Gabriele Kern-Isberner:
A Semantics for Conditionals with Default Negation. ECSQARU 2017: 257-267 - [c6]Marco Wilhelm, Gabriele Kern-Isberner:
Typed Model Counting and Its Application to Probabilistic Conditional Reasoning at Maximum Entropy. FLAIRS 2017: 748-753 - [c5]Marco Wilhelm, Gabriele Kern-Isberner, Andreas Ecke:
Basic Independence Results for Maximum Entropy Reasoning Based on Relational Conditionals. GCAI 2017: 36-50 - [c4]Marco Wilhelm, Marc Finthammer, Gabriele Kern-Isberner, Christoph Beierle:
First-Order Typed Model Counting for Probabilistic Conditional Reasoning at Maximum Entropy. SUM 2017: 266-279 - 2016
- [c3]Marco Wilhelm, Gabriele Kern-Isberner, Andreas Ecke:
Propositional Probabilistic Reasoning at Maximum Entropy Modulo Theories. FLAIRS 2016: 690-694 - 2014
- [c2]Gabriele Kern-Isberner, Marco Wilhelm, Christoph Beierle:
A Novel Methodology for Processing Probabilistic Knowledge Bases Under Maximum Entropy. FLAIRS 2014 - [c1]Gabriele Kern-Isberner, Marco Wilhelm, Christoph Beierle:
Probabilistic Knowledge Representation Using Gröbner Basis Theory. ISAIM 2014
Coauthor Index
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