Peter Geibel

发表

Learning and Memorizing Models of Logical Theories in a Hybrid Learning Device

Kai-Uwe Kühnberger, Helmar Gust, Peter Geibel, 2007, ICONIP.

II Graph Based Induction of Spatial Relations in Mental Models

Fritz Wysotzki, Peter Geibel, Carsten Gips, 2007 .

SVM learning with the Schur-Hadamard inner product for graphs

Fritz Wysotzki, Brijnesh J. Jain, Peter Geibel, 2005, Neurocomputing.

I-Cog: A Computational Framework for Integrated Cognition of Higher Cognitive Abilities

Angela Schwering, Kai-Uwe Kühnberger, Ulf Krumnack, 2007, MICAI.

Relational Learning with Decision Trees

Fritz Wysotzki, Peter Geibel, 1996, ECAI.

Learning Methods for Graph Models of Document Structure

Kai-Uwe Kühnberger, Alexander Mehler, Peter Geibel, 2012, Modeling, Learning, and Processing of Text Technological Data Structures.

Ontology-Based Semantic Annotation of Documents in the Context of Patient Identification for Clinical Trials

Frank Müller, Thomas Tolxdorff, Thorsten Schaaf, 2013, OTM Conferences.

Fuzzy and Cross-Lingual Ontology Matching Mediated by Background Knowledge

Konstantin Todorov, Céline Hudelot, Peter Geibel, 2014, URSW.

Building A Fuzzy Knowledge Body for Integrating Domain Ontologies

Konstantin Todorov, Céline Hudelot, Peter Geibel, 2011, URSW.

Reinforcement Learning for MDPs with Constraints

Peter Geibel, Peter Geibel, 2006, ECML.

Reinforcement Learning with Bounded Risk

Peter Geibel, Peter Geibel, 2001, ICML.

Variable Selection as an Instance-Based Ontology Mapping Strategy

Konstantin Todorov, Peter Geibel, Peter Geibel, 2009, SWWS.

Learning Relational Concepts with Decision Trees

Fritz Wysotzki, Peter Geibel, Peter Geibel, 1996, ICML.

Combining Recurrent Neural Networks and Support Vector Machines for Structural Pattern Recognition

Fritz Wysotzki, Brijnesh J. Jain, Peter Geibel, 2004, KI.

Support Vector Machines with Example Dependent Costs

Ulf Brefeld, Fritz Wysotzki, Peter Geibel, 2003, ECML.

Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs

Ulf Brefeld, Fritz Wysotzki, Peter Geibel, 2003, IDA.

A Logical Framework for Graph Theoretical Decision Tree Learning

Fritz Wysotzki, Peter Geibel, 1997, ILP.

How to Work with Vocabulary Correctly, Exemplified with Gender Coding?

Bernd Blobel, Frank Oemig, Peter Geibel, 2016, MIE.

Structure-Sensitive Learning of Text Types

Kai-Uwe Kühnberger, Ulf Krumnack, Helmar Gust, 2007, Australian Conference on Artificial Intelligence.

Induktive Konstruktion von merkmalsbasierten und logischen Klassifikatoren für relationale Strukturen

Peter Geibel, 1999, DISKI.

Learning Perceptrons and Piecewise Linear Classifiers Sensitive to Example Dependent Costs

Fritz Wysotzki, Peter Geibel, Peter Geibel, 2004, Applied Intelligence.

Learning from Inconsistencies in an Integrated Cognitive Architecture

Angela Schwering, Kai-Uwe Kühnberger, Ulf Krumnack, 2008, AGI.

Perspectives of Neuro--Symbolic Integration -- Extended Abstract --

Kai-Uwe Kühnberger, Helmar Gust, Peter Geibel, 2008, Recurrent Neural Networks.

Learning of Class Descriptions from Class Discriminations: A Hybrid Approach for Relational Objects

Kristina Schädler, Fritz Wysotzki, Peter Geibel, 2002, KI.

Patient Identification for Clinical Trials with Ontology-based Information Extraction from Documents

Frank Müller, Thomas Tolxdorff, Thorsten Schaaf, 2013, KEOD.

Structural Classifiers of Text Types: Towards a Novel Model of Text Representation

Alexander Mehler, Peter Geibel, Olga Pustylnikov, 2007, LDV Forum.

LNVD 2007 Learning from Non-Vectorial Data

Brijnesh J. Jain, Peter Geibel, Peter Geibel, 2007 .

SVM learning with the SH inner product

Fritz Wysotzki, Brijnesh J. Jain, Peter Geibel, 2004, ESANN.

A Framework for a Fuzzy Matching between Multiple Domain Ontologies

Konstantin Todorov, Céline Hudelot, Peter Geibel, 2011, KES.

Learning Context Dependent Concepts

Fritz Wysotzki, Peter Geibel, 1995 .

Classification of Documents Based on the Structure of Their DOM Trees

Kai-Uwe Kühnberger, Helmar Gust, Alexander Mehler, 2007, ICONIP.

Reinforcement Learning Approaches for Constrained MDPs

Peter Geibel, 2007 .

Modeling Human-Level Intelligence by Integrated Cognition in a Hybrid Architecture

Angela Schwering, Kai-Uwe Kühnberger, Ulf Krumnack, 2007, FAInt.

Graphbasierte Lernverfahren fÃ¼r relationale Daten

Fritz Wysotzki, Peter Geibel, 2000 .

Perceptron Based Learning with Example Dependent and Noisy Costs

Fritz Wysotzki, Peter Geibel, 2003, ICML.

Graphbasierte Lernverfahren für relationale Daten

Fritz Wysotzki, Peter Geibel, F. Wysotzki, 2000, Informatik Forschung und Entwicklung.

Fuzzy Ontology Alignment using Background Knowledge

Adrian Popescu, Konstantin Todorov, Céline Hudelot, 2014, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Extensional Ontology Matching with Variable Selection for Support Vector Machines

Kai-Uwe Kühnberger, Konstantin Todorov, Peter Geibel, 2010, 2010 International Conference on Complex, Intelligent and Software Intensive Systems.

Risk-Sensitive Reinforcement Learning Applied to Control under Constraints

Fritz Wysotzki, Peter Geibel, Peter Geibel, 2005, J. Artif. Intell. Res..

Learning Models of Predicate Logical Theories with Neural Networks Based on Topos Theory

Kai-Uwe Kühnberger, Helmar Gust, Peter Geibel, 2007, Perspectives of Neural-Symbolic Integration.

Mining Concept Similarities for Heterogeneous Ontologies

Kai-Uwe Kühnberger, Konstantin Todorov, Peter Geibel, 2010, ICDM.

Ontology-Based Information Extraction: Identifying Eligible Patients for Clinical Trials in Neurology

Thomas Tolxdorff, Peter Geibel, Martin Trautwein, 2014, Journal on Data Semantics.

Ontology Mapping via Structural and Instance-based Similarity Measures

Konstantin Todorov, Peter Geibel, Peter Geibel, 2008, OM.

Perceptron and SVM learning with generalized cost models

Ulf Brefeld, Fritz Wysotzki, Peter Geibel, 2004, Intell. Data Anal..

A New Information Measure Based on Example-Dependent Misclassification Costs and Its Application in Decision Tree Learning

Fritz Wysotzki, Peter Geibel, 2009, Adv. Artif. Intell..

Variants of Tree Kernels for XML Documents

Kai-Uwe Kühnberger, Helmar Gust, Peter Geibel, 2007, MICAI.

Learning Models of Relational MDPs Using Graph Kernels

Peter Geibel, Florian Halbritter, Peter Geibel, 2007, MICAI.

Connectionist construction of prototypes from decision trees for graph classification

Kristina Schädler, Fritz Wysotzki, Peter Geibel, 2003, Intell. Data Anal..

Computer-Supported Decision Making with Object Dependent Costs for Misclassifications

Fritz Wysotzki, Peter Geibel, Peter Geibel, 2006 .