Publikationen zu Multiagentensystemen und maschinellem Lernen

M. Baumann, H. Kleine Büning.
State Aggregation by Growing Neural Gas for Reinforcement Learning in Continuous State Spaces.
In The Tenth International Conference on Machine Learning and Applications (ICMLA 2011) (accepted for publication). 2011.

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T. Kemmerich, H. Kleine Büning.
On the Power of Global Reward Signals in Reinforcement Learning.
In MATES 2011. Springer-Verlag Berlin Heidelberg, LNAI, vol. 6973, pp. 53-64, 2011.

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M. Eberling.
Multi-Criteria Cooperation in Multiagent Systems by Local Adaptation.
PhD thesis, University of Paderborn 2011.

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T. Kemmerich, H. Kleine Büning.
Coordination in Large Multiagent Reinforcement Learning Problems.
In Proc. IEEE/WIC/ACM Intl. Conf. on Intelligent Agent Technology (IAT'11) (accepted for publication). 2011.

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T. Kemmerich, H. Kleine Büning.
A Convergent Multiagent Reinforcement Learning Approach for a Subclass of Cooperative Stochastic Games.
In Proceedings of the Adaptive and Learning Agents Workshop 2011 (ALA@AAMAS 2011). , pp. 75-82, 2011.

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T. Lettmann, M. Baumann, M. Eberling, T. Kemmerich.
Modeling Agents and Agent Systems.
In Transactions on Computational Collective Intelligence V. Springer, LNCS 6910, pp. 157-181, 2011.

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S. Heinrich, S. Wermter, M. Eberling.
Determining Cooperation in Multiagent Systems with Cultural Traits.
In Joaquim Filipe and Ana Fred (eds.): Proceedings of the 3rd International Conference on Agents and Artificial Intelligence ICAART 2011 Vol. 2. SciTePress, pp. 173-180, 2011.

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M. Eberling, H. Kleine Büning.
Convergence Analysis of a Multiagent Cooperation Model.
In Joaquim Filipe and Ana Fred (eds.): Proceedings of the 3rd International Conference on Agents and Artificial Intelligence ICAART 2011 Vol. 2. SciTePress, pp. 167-172, 2011.

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T. Kemmerich, H. Kleine Büning.
Region-Based Heuristics for an Iterative Partitioning Problem in Multiagent Systems (extended version).
Technical Report, no. TR-RI-10-320. University of Paderborn 2010.

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M. Eberling, H. Kleine Büning.
Convergence Analysis of a Multiagent Cooperation Model (extended Version).
Technical Report, no. TR-RI-10-321. University of Paderborn 2010.

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M. Baumann.
WeGA revisited -- Genre-Klassifikation für Web-Dokumente.
Master's thesis, Universität Paderborn 2010.

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T. Kemmerich, H. Kleine Büning.
External Coordination Media in Capacity-Constrained Multiagent Systems.
In Proc. IEEE/WIC/ACM Intl. Joint Conf. on Web Intelligence and Intelligent Agent Technology (WI-IAT'10). IEEE Computer Society, pp. 109-116, 2010.

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T. Kemmerich.
Influence of Communication Graph Structures on Pheromone-Based Approaches in the Context of a Partitioning Task Problem.
In Coordination, Organizations, Institutions and Norms in Agent Systems V (COIN'09). Springer, Lecture Notes in Artificial Intelligence, vol. 6069, pp. 257-272, 2010.

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T. Schmidt, M. Eberling, H. Kleine Büning.
The Effects of Local Trust Cooperation in Multiagent Systems.
In Jedrzejowicz, Piotr and Nguyen, Ngoc Thanh and Howlett, Robert J. and Jain, Lakhmi C. (eds.): Proceedings of the 4th KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications. Springer (Heidelberg), Lecture Notes in Computer Science, vol. 6071, pp. 233-242, 2010.

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C. Laroque, B. Urban, M. Eberling.
Parameteroptimierung von Materialflusssimulationen durch Partikelschwarmalgorithmen.
In Matthias Schumann, Lutz M. Kolbe, Michael H. Breitner, Arne Frerichs (eds.): Proceedings of the German Multikonferenz Wirtschaftsinformatik 2010 (MKWI'10). Universitätsverlag Göttingen, pp. 2265-2275, 2010.

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M. Eberling, H. Kleine Büning.
Self-adaptation Strategies to Favor Cooperation.
In Jedrzejowicz, Piotr and Nguyen, Ngoc Thanh and Howlett, Robert J. and Jain, Lakhmi C. (eds.): Proceedings of the 4th KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications. Springer (Heidelberg), Lecture Notes in Computer Science, vol. 6071, pp. 223-232, 2010.

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M. Kruse, M. Baumann, T. Knieper, C. Seipel, L. Khaluf, N. Lehmann, A. Lermontow, C. Messinger, S. Richter, T. Schmidt, D. Swars.
Learning Parametrised RoboCup Rescue Agent Behaviour Using an Evolutionary Algorithm.
In Mertsching, Bärbel and Hund, Marcus and Aziz, Muhammad Zaheer (eds.): Proceedings of the 32nd Annual German Conference on AI (KI 2009). Springer, Lecture Notes in Computer Science, vol. 5803, pp. 648-655, 2009.

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M. Eberling.
Towards Determining Cooperation Based on Multiple Criteria.
In Mertsching, Bärbel and Hund, Marcus and Aziz, Muhammad Zaheer (eds.): Proceedings of the 32nd Annual German Conference on AI (KI 2009). Springer, Lecture Notes in Computer Science, vol. 5803, pp. 548-555, 2009.

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N. Akchurina.
Computation of Nash equilibrium in general-sum discounted stochastic games.
Technical Report, no. tr-ri-09-306. University of Paderborn 2009.

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N. Akchurina.
Multiagent reinforcement learning: Algorithm converging to Nash equilibrium in general-sum discounted stochastic games.
In Proceedings of the eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS'09). IFAAMAS, pp. 725-732, 2009.

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S. Priesterjahn, A. Weimer, M. Eberling.
Real-Time Imitation-Based Adaptation of Gaming Behaviour in Modern Computer Games.
In Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation. ACM (New York, NY, USA), pp. 1431-1432, 2008.

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S. Priesterjahn, M. Eberling.
Imitation Learning in Uncertain Environments.
In Rudolph, Günter and Jansen, Thomas and Lucas, Simon and Poloni, Carlo and Beume, Nicola (eds.): Proceedings of the 10th International Conference on Parallel Problem Solving from Nature (PPSN X). Springer Berlin / Heidelberg, Lecture Notes in Computer Science, vol. 5199, pp. 950-960, 2008.

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N. Akchurina.
Optimistic-pessimistic Q-learning algorithm for multiagent systems.
In Proceedings of the sixth German Conference on Multiagent System Technologies (MATES'08). Springer, Lecture Notes in Computer Science, vol. 5244, pp. 13-24, 2008.

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N. Akchurina.
Multi-agent reinforcement learning algorithm with variable optimistic-pessimistic criterion.
In Proceedings of the 18th European Conference on Artificial Intelligence (ECAI'08). IOS Press, Frontiers in Artificial Intelligence and Applications, vol. 178, pp. 433-437, 2008.

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S. Priesterjahn, A. Weimer.
An Evolutionary Online Adaptation Method for Modern Computer Games Based on Imitation.
In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann (eds.): Genetic and Evolutionary Computation Conference, GECCO 2007, Proceedings, London, England, UK, July 7-11, 2007. ACM Press (London), vol. 1, pp. 344-345, 2007.

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S. Priesterjahn.
Imitation-Based Evolution of Artificial Game Players.
In SIGEVOlution, vol. 2, no. 4, pp. 2-13, ACM (New York, NY, USA), 2007.

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O. Kramer, B. Gloger, A. Goebels.
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments.
In Lipson, Hod (eds.): Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2007). ACM, pp. 674-681, 2007.

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M. Eberling.
Emergentes Verhalten durch Adaption, Evolution und Imitation in unsichereren Realzeitumgebungen.
Master's thesis, University of Paderborn 2007.

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N. Akchurina, H. Kleine Büning.
Virtual Markets: Q-Learning Sellers with Simple State Representation.
In Proceedings of the second International Workshop on Autonomous Intelligent Systems: Multi-Agents and Data Mining (AIS-ADM'07). Springer, Lecture Notes in Artificial Intelligence, vol. 4476, pp. 192-205, 2007.

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N. Akchurina.
Learning by Observation: Comparison of three intuitive methods of embedding mentor's knowledge in reinforcement learning algorithms.
In Proceedings of the Symposium on Artificial Intelligence and Simulation of Behavior (AISB'07). AISB, pp. 270-278, 2007.

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S. Priesterjahn, O. Kramer, A. Weimer, A. Goebels.
Evolution of Human-Competitive Agents in Modern Computer Games.
In Gary G. Yen and Simon M. Lucas and Gary Fogel and Graham Kendall and Ralf Salomon and Byoung-Tak Zhang and Carlos A. Coello Coello and Thomas Philip Runarsson (eds.): Proceedings of the 2006 IEEE Congress on Evolutionary Computation. IEEE Press (Vancouver, BC, Canada), pp. 777-784, 2006.

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A. Goebels.
Learning Useful Communication Structures for Groups of Agents.
In Pan, Yi and Rammig, Franz J. and Schmeck, Hartmut and Solar, Mauricio (eds.): Proceedings of the 1st IFIP International Conference in Biologically Inspired Cooperative Computing (BICC 2006). Springer, IFIP International Federation for Information Processing, vol. 216, pp. 125-135, 2006.

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A. Goebels.
Studies on Neighbourhood Graphs for Communication in Multi Agent Systems.
In Jiao, Licheng and Wang, Lipo and Gao, Xinbo and Liu, Jing and Wu,Feng (eds.): Proceedings of the Second International Conference on Advances in Natural Computation (ICNC 2006). Springer, Lecture Notes in Computer Science, vol. 4222, pp. 456-465, 2006.

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A. Goebels.
A Mapping Function to Use Cellular Automata for Solving MAS Problems.
In Jiao, Licheng and Wang, Lipo and Gao, Xinbo and Liu, Jing and Wu,Feng (eds.): Proceedings of the Second International Conference on Advances in Natural Computation (ICNC 2006). Springer, Lecture Notes in Computer Science, vol. 4222, pp. 53-62, 2006.

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M. Eberling.
Attribut-basierte Kooperation und das Prisoners Dilemma in Multiagenten Systemen.
Bachelor thesis, University of Paderborn 2006.

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N. Akchurina, V. Vagin.
Parallel Preprocessing for Classification Problems in Knowledge Discovery Systems.
In Proceedings of the Seventh Joint Conference on Knowledge-Based Software Engineering. IOS Press, pp. 275-284, 2006.

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A. Weimer, S. Priesterjahn, H. Kleine Büning.
Towards the Emergent Memetic Control of a Module Robot.
In Proceedings of the International Conference on Artificial Intelligence and Simulation of Behaviour (AISB 2005). The Society for the Study of Artificial Intelligence and the Simulation of Behaviour, pp. 45-52, 2005.

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S. Priesterjahn, O. Kramer, A. Weimer, A. Goebels.
Evolution of Reactive Rules in Multi Player Computer Games Based on Imitation.
In Wang, Lipo and Chen, Ke and S. Ong, Yew (eds.): Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II. Springer Berlin / Heidelberg, Lecture Notes in Computer Science, vol. 3611, pp. 744-755, 2005.

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S. Priesterjahn, A. Goebels, A. Weimer.
Stigmergetic communication for cooperative agent routing in virtual environments.
In Proceedings of the International Conference on Artificial Intelligence and the Simulation of Behaviour (AISB'05). AISB Press, pp. 37-44, 2005.

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O. Kramer, C. Ting, H. Kleine Büning.
A new mutation operator for evolution strategies for constrained problems.
In Proceedings of the IEEE Congress on Evolutionary Computation, (CEC 2005). IEEE Press, pp. 2600-2606, 2005.

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O. Kramer, C. Ting, H. Kleine Büning.
A mutation operator for evolution strategies to handle constrained problems.
In Beyer, Hans-Georg and O'Reilly,Una-May (eds.): Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2005). ACM, pp. 917-918, 2005.

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E. Hotman, A. Alke.
A fuzzy AHP-based decision support system for microencapsulation process selection.
In Proceedings of the 35th International Conference on Computers \& Industrial Engineering. , pp. 899-904, 2005.

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E. Hotman.
Base Reference Analytical Hierarchy Process for Engineering Process Selection.
In Khosla, Rajiv and Howlett, Robert J. and C. Jain,Lakhmi (eds.): Proceedings of the 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2005). Springer, Lecture Notes in Computer Science, vol. 3681, pp. 184-190, 2005.

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E. Hotman.
A Base Reference AHP-based Decision Support System for Selection Problem.
In Arabnia, Hamid R. and Joshua, Rose (eds.): Proceedings of the 2005 International Conference on Artificial Intelligence (ICAI 2005). CSREA Press, pp. 279-285, 2005.

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A. Goebels, A. Weimer, S. Priesterjahn.
Using cellular automata with evolutionary learned rules to solve the online partitioning problem.
In Proceedings of the IEEE Congress on Evolutionary Computation(CEC 2005). IEEE Press, pp. 837-843, 2005.

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A. Goebels, H. Kleine Büning, S. Priesterjahn, A. Weimer.
Towards Online Partitioning of Agent Sets based on Local Information.
In Fahringer, Thomas and Hamza, M. H. (eds.): Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks (PDCN'05). IASTED/ACTA Press, pp. 674-679, 2005.

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A. Goebels, H. Kleine Büning, S. Priesterjahn, A. Weimer.
Towards Online Partitioning of Agent Sets based on Local Information.
In Abraham, Ajith and Dote, Yasuhiko and Furuhashi, Takeshi and Köppen, Mario and Ohuchi, Azuma and Ohsawa, Yukio (eds.): Proceedings of the fourth IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTS'05). Springer, Advances in Soft Computing, vol. 29, pp. 674-679, 2005.

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C. Ting.
On the Mean Convergence Time of Multi-parent Genetic Algorithms Without Selection.
In Advances in Artificial Life, 8th European Conference, ECAL 2005, Canterbury, UK, September 5-9, 2005, Proceedings. , pp. 403-412, 2005.

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C. Ting.
On the Convergence of Multi-Parent Genetic Algorithms.
In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2005, 2-4 September 2005, Edinburgh, UK. , pp. 396-403, 2005.

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Benno Stein and Sven Meyer zu Ei\ssen and Andreas Nürnberger (eds.):
Machine Learning and Interaction for Text-Based Information Retrieval (TIR 04).
University of Ulm Germany 2004.

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V. Vagin, N. Akchurina.
New Techniques for Handling Missing Data and Feature Extraction for Knowledge Discovery.
In V. Stefanuk and K. Kaijiri (eds.): Proceedings of the Sixth Joint Conference on Knowledge-Based Software Engineering. IOS Press, pp. 169-176, 2004.

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B. Stein, S. Meyer zu Eißen.
Topic Identification: Framework and Application.
In Klaus Tochtermann and Hermann Maurer (eds.): Proceedings of the 4th International Conference on Knowledge Management (I-KNOW 04), Graz, Austria. Know-Center (Graz, Austria), Journal of Universal Computer Science, pp. 353-360, 2004.

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S. Meyer zu Eißen, B. Stein.
Genre Classification of Web Pages.
In Proceeding of the Workshop on Machine Learning and Interaction for Text-Based Information Retrieval (TIR-04), Co-located with KI-2004. University of Ulm 2004.

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S. Meyer zu Eißen, B. Stein.
Genre Classification of Web Pages.
In Proceeding of the 27th German Conference on Artificial Intelligence (KI 2004). Springer 2004.

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S. Meyer zu Eißen, B. Stein.
Wrapper Generation with Patricia Trees.
In Stein, Benno and Meyer zu Ei\ssen, Sven and Nürnberger, Andreas (eds.): Proceedings of the Workshop on Machine Learning and Interaction for Text-Based Information Retrieval (TIR 04). University of Ulm Germany, Workshop Proceedings, pp. 69-76, 2004.

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S. Meyer zu Eißen, B. Stein.
Genre Classification of Web Pages.
In Horvath, I. and Xirouchakis, P. (eds.): Proceeding of the Fifth International Symposium on Tools and Methods of Competitive Engineering (TMCE 2004). Millpress 2004.

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S. Meyer zu Eißen, B. Stein.
Web-based Simulation: Application Scenarios and Realization Alternatives.
In Horv\'ath, Imre and Xirouchakis, Paul (eds.): Proceedings of the 5th International Symposium on Tools and Methods of Competitive Engineering (TMCE 04). Millpress, vol. 2, pp. 1011-1020, 2004.

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S. Meyer zu Eißen, B. Stein.
Genre Classification of Web Pages: User Study and Feasibility Analysis.
In Biundo, Susanne and Frühwirth, Thom and Palm, Günther (eds.): Proceedings of the 27th Annual German Conference on Artificial Intelligence (KI 04). Springer, Lecture Notes in Artificial Intelligence, vol. 3228, pp. 256-269, 2004.

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N. Akchurina, V. Vagin.
Generalized Value Partition Problem: A Rough Set Approach.
In Journal of Computer and Systems Sciences International, vol. 43, no. 2, pp. 223-238, , 2004.

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C. Ting.
An Analysis of the Effectiveness of Multi-parent Crossover.
In Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, Birmingham, UK, September 18-22, 2004, Proceedings. , pp. 131-140, 2004.

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C. Ting.
Improving Edge Recombination through Alternate Inheritance and Greedy Manner.
In Evolutionary Computation in Combinatorial Optimization, 4th European Conference, EvoCOP 2004, Coimbra, Portugal, April 5-7, 2004, Proceedings. , pp. 210-219, 2004.

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B. Stein, S. Meyer zu Eißen.
AIsearch Homepage.
2003-2004.

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C. Ting, H. Kleine Büning.
A Mating Strategy for Multi-Parent Genetic Algorithms by Integrating Tabu Search.
In Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon (eds.): Proceedings of the 2003 Congress on Evolutionary Computation CEC2003. IEEE Press (Canberra), pp. 1259-1266, 2003.

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B. Stein, S. Meyer zu Eißen, F. Wißbrock.
On Cluster Validity and the Information Need of Users.
In M. H. Hanza (eds.): Proceedings of the International Conference on Artificial Intelligence and Applications (AIA 03), Benalmádena, Spain. ACTA Press (Anaheim, Calgary, Zurich), pp. 216-221, 2003.

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B. Stein, S. Meyer zu Eißen.
Automatic Document Categorization: Interpreting the Perfomance of Clustering Algorithms.
In Andreas Günter and Rudolf Kruse and Bernd Neumann (eds.): KI 2003: Advances in Artificial Intelligence. Springer (Berlin Heidelberg New\,York), Lecture Notes in Artificial Intelligence, vol. 2821 LNAI, pp. 254-266, 2003.

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B. Stein.
Engineers Don't Search.
In Wolfgang Lenski (eds.): Symposium on Logic versus Approximation, Schloss Dagstuhl, Germany. Springer (Berlin Heidelberg New\,York), Lecture Notes in Computer Science, vol. 3075 LNCS, pp. 120-137, 2003.

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B. Stein, S. Meyer zu Eißen.
Document Categorization with MajorClust.
In Amit Basu and Soumitra Dutta (eds.): Proceedings of the 12th Workshop on Information Technology and Systems (WITS 02), Barcelona, Spain. Technical University of Barcelona, pp. 91-96, 2002.

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S. Meyer zu Eißen, B. Stein.
Analysis of Clustering Algorithms for Web-based Search.
In Karagiannis, Dimitris and Ulrich Reimer, Ulrich (eds.): Proceedings of the 4th International Conference on Practical Aspects of Knowledge Management (PAKM 02). Springer, Lecture Notes in Artificial Intelligence, vol. 2569, pp. 168-178, 2002.

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S. Meyer zu Eißen, B. Stein.
Analysis of Clustering Algorithms for Web-based Search.
In Karagiannis, Dimitris and Reimer, Ulrich (eds.): Proceedings of the 4th International Conference on Practical Aspects of Knowledge Management (PARM 02). Springer (Berlin Heidelberg New\,York), Lecture Notes in Artificial Intelligence, vol. 2569, pp. 168-178, 2002.

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S. Meyer zu Eißen, B. Stein.
The AIsearch Meta Search Engine Prototype.
In Basu, Amit and Dutta, Soumitra (eds.): Proceedings of the 12th Workshop on Information Technology and Systems (WITS 02),. Technical University of Barcelona 2002.

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B. Stein, O. Niggemann, U. Husemeyer.
Learning Complex Similarity Measures.
In Reinhold Decker and Wolfgang Gaul (eds.): Classification and Information Processing at the Turn of the Millenium (selected Papers from the 23th Annual Conference of the German Classification Society (GfKl), Bielefeld, March 1999). Springer (Berlin Heidelberg New\,York), pp. 254-263, 2000.

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K. Leweling, B. Stein.
Hybrid Constraints in Automated Model Synthesis and Model Processing.
In Heipcke, Susanne and Wallace, Mark (eds.): 5th International Conference on Principles and Practice of Constraint Programming (CP 99), Workshop on Large Scale Combinatorial Optimisation and Constraints. Dash Associates (Leamington Spa England), pp. 45-56, 1999.

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B. Stein.
Tiefe Modelle in Expertensystemen - Einordung und Abgrenzung.
Research Note 1991. (to be published)

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M. Bauer, B. Stein, J. Weiner.
Problemklassen in Expertensysteme.
In KI - Künstliche Intelligenz: Forschung, Entwicklung, Erfahrungen, vol. 3, pp. 13-18, Oldenbourg, 1991.

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