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Edgar Kalkowski
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2010 – 2019
- 2019
- [b1]Edgar Kalkowski:
Generative Vorhersagetechniken für Raten und Ontologie-basierte Ähnlichkeitsberechnung mit Anwendungen im Suchmaschinenmarketing. University of Kassel, Germany, 2019, ISBN 978-3-7376-0748-3, pp. 1-206 - 2016
- [j4]Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska:
Towards automation of knowledge understanding: An approach for probabilistic generative classifiers. Inf. Sci. 370-371: 476-496 (2016) - [c4]Edgar Kalkowski, Bernhard Sick:
Correlation of Ontology-Based Semantic Similarity and Human Judgement for a Domain Specific Fashion Ontology. ICWE 2016: 207-224 - [i1]Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska:
Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers. CoRR abs/1605.06377 (2016) - 2015
- [c3]Edgar Kalkowski, Bernhard Sick:
Using Ontology-Based Similarity Measures to Find Training Data for Problems with Sparse Data. SMC 2015: 1693-1699 - 2014
- [j3]Dominik Fisch, Edgar Kalkowski, Bernhard Sick:
Knowledge Fusion for Probabilistic Generative Classifiers with Data Mining Applications. IEEE Trans. Knowl. Data Eng. 26(3): 652-666 (2014) - 2012
- [j2]Dominik Fisch, Martin Jänicke, Edgar Kalkowski, Bernhard Sick:
Learning from others: Exchange of classification rules in intelligent distributed systems. Artif. Intell. 187: 90-114 (2012) - [j1]Dominik Fisch, Martin Jänicke, Edgar Kalkowski, Bernhard Sick:
Techniques for knowledge acquisition in dynamically changing environments. ACM Trans. Auton. Adapt. Syst. 7(1): 16:1-16:25 (2012) - 2011
- [c2]Dominik Fisch, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska:
In Your Interest - Objective Interestingness Measures for a Generative Classifier. ICAART (1) 2011: 414-423 - [p1]Dominik Fisch, Edgar Kalkowski, Bernhard Sick:
Collaborative Learning by Knowledge Exchange. Organic Computing 2011: 267-280
2000 – 2009
- 2009
- [c1]Dominik Fisch, Martin Jänicke, Edgar Kalkowski, Bernhard Sick:
Learning by Teaching versus Learning by Doing: Knowledge Exchange in Organic Agent Systems. IEEE IA 2009: 31-38
Coauthor Index
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