Peter Geibel - Citegraph

Author Info

Name	Affiliation	Papers
PETER GEIBEL	TU Berlin, Fak. IV (Electrical Engineering and Computer Science), Methods of Artificial Intelligence, Sekr. FR5-8, Franklinstr. 28/29, D-10587 Berlin, Germany. <rfc822>geibel@cs.tu-berlin.de</rfc8 ...	28
Collaborators	Citations	PageRank
72	286	26.62
Referers	Referees	References
672	459	394

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100672

Publications (28 rows)

Collaborators (72 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
A framework for a fuzzy matching between multiple domain ontologies	4	0.46	2011
Risk-sensitive reinforcement learning applied to control under constraints	73	2.65	2011
Extensional Ontology Matching with Variable Selection for Support Vector Machines	4	0.42	2010
Mining concept similarities for heterogeneous ontologies	10	0.63	2010
A new information measure based on example-dependent misclassification costs and its application in decision tree learning	2	0.41	2009
Learning from Inconsistencies in an Integrated Cognitive Architecture	2	0.38	2008
Ontology Mapping via Structural and Instance-based Similarity Measures	7	0.52	2008
Perspectives of Neuro--Symbolic Integration -- Extended Abstract	0	0.34	2008
Modeling Human-Level Intelligence by Integrated Cognition in a Hybrid Architecture	1	0.36	2007
Variants of tree kernels for XML documents	0	0.34	2007
Learning and Memorizing Models of Logical Theories in a Hybrid Learning Device	1	0.41	2007
I-Cog: a computational framework for integrated cognition of higher cognitive abilities	2	0.42	2007
Classification of Documents Based on the Structure of Their DOM Trees	2	0.38	2007
Learning models of relational MDPs using graph kernels	5	0.47	2007
Structural Classifiers of Text Types: Towards a Novel Model of Text Representation	3	0.42	2007
Structure-sensitive learning of text types	3	0.46	2007
Reinforcement learning for MDPs with constraints	15	0.79	2006
CIXL2: a crossover operator for evolutionary algorithms based on population features	57	8.50	2005
Learning Perceptrons and Piecewise Linear Classifiers Sensitive to Example Dependent Costs	4	0.47	2004
Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs	2	0.37	2003
Perceptron Based Learning with Example Dependent and Noisy Costs	10	0.99	2003
Connectionist construction of prototypes from decision trees for graph classification	2	0.43	2003
Support Vector Machines with Example Dependent Costs	42	2.09	2003
Learning of Class Descriptions from Class Discriminations: A Hybrid Approach for Relational Objects	1	0.35	2002
Graphbasierte Lernverfahren für relationale Daten	0	0.34	2000
A Logical Framework for Graph Theoretical Decision Tree Learning	7	0.50	1997
Relational Learning with Decision Trees	7	0.69	1996
Learning Relational Concepts with Decision Trees	20	2.04	1996