Computational Intelligence ist ein Paradigma, welches verschiedene Theorien vereint, denen biologische Ideen zu Grunde liegen. In vielen Fällen lassen sich mit diesen Methoden zumindest approximativ korrekte Lösungen für nachweisliche harte Probleme finden. Computational Intelligence umfasst mindestens die Gebiete Neuronale Netze, Fuzzy Systeme und Evolutionäre Algorithmen.
| Mierswa/Morik/2008a |
Mierswa, Ingo and Morik, Katharina.
About the Non-Convex Optimization Problem Induced by Non-positive Semidefinite Kernel Learning.
In
Advances in Data Analysis and Classification,
Vol. 2,
No. 3,
Seiten 241--258,
2008.
|
| Mierswa/2007c |
Mierswa, Ingo.
Regularization through Multi-Objective Optimization.
In
Klinkenberg, Ralf and Mierswa, Ingo and Hinneburg, Alexander and Posch, Stefan and Neumann, Steffen (editors),
Proc. of LWA 2007 - Lernen - Wissensentdeckung - Adaptivität,
2007.
|
| Koepcke/Mierswa/2006a |
Kopcke, Hanna and Mierswa, Ingo.
Optimizing Process Plant Layouts.
In
Proceedings of the 6th International Symposium on Tools and Methods of Competitive Engineering (TMCE 2006),
2006.
|
| Mierswa/2006a |
Mierswa, Ingo.
Evolutionary Learning with Kernels: A Generic Solution for Large Margin Problems.
In
Proc. of the Genetic and Evolutionary Computation Conference (GECCO 2006),
2006.
|
| Mierswa/2006b |
Mierswa, Ingo.
Making Indefinite Kernel Learning Practical.
Collaborative Research Center 475, University of Dortmund,
2006.
|
| Mierswa/Wurst/2006a |
Mierswa, Ingo and Wurst, Michael.
Information Preserving Multi-Objective Feature Selection for Unsupervised Learning.
In
Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens (editors),
GECCO '06: Proceedings of the 8th annual conference on Genetic and evolutionary computation,
Seiten 1545--1552,
New York, NY, USA,
ACM Press,
2006.
|
| Mierswa/2005a |
Mierswa, Ingo.
Incorporating Fuzzy Knowledge into Fitness: Multiobjective Evolutionary 3D Design of Process Plants.
In
Proc. of the Genetic and Evolutionary Computation Conference GECCO 2005,
2005.
|
| Mierswa/Morik/2005a |
Mierswa, Ingo and Morik, Katharina.
Automatic Feature Extraction for Classifying Audio Data.
In
Machine Learning Journal,
Vol. 58,
Seiten 127--149,
2005.
|
| Mierswa/Morik/2005b |
Mierswa, Ingo and Morik, Katharina.
Method trees: building blocks for self-organizable representations of value series: how to evolve representations for classifying audio data.
In
Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2005, Workshop on Self-Organization In Representations For Evolutionary Algorithms: Building complexity from simplicity,
Seiten 293--300,
New York, NY, USA,
ACM,
2005.
|
| Mierswa/Morik/2005c |
Mierswa, Ingo and Morik, Katharina.
Evolutionäre Aufzucht von Methodenbäumen zur Merkmalsextraktion aus Audiodaten.
In
Informatik Spektrum, Themenheft Musik,
Vol. 28,
No. 5,
Seiten 381--388,
2005.
|
| Morik/etal/2005b |
Morik, Katharina and Schmidt-Traub, Henner and Hicking, Bernd and Köpcke, Hanna and Mierswa, Ingo.
Optimierung von Aufstellungsentwurfen für Chemieanlagen.
In
Industriemanagement,
Vol. 21,
No. 3,
Seiten 25--28,
2005.
|
| Mierswa/2004a |
Mierswa, Ingo.
Automatisierte Merkmalsextraktion aus Audiodaten.
Fachbereich Informatik, Universit\"at Dortmund,
2004.
|
| Mierswa/2004b |
Mierswa, Ingo.
Automatic Feature Extraction from Large Time Series.
In
Weihs, C. and Gaul, W. (editors),
Classification -- the Ubiquitous Challenge, Proc. of the 28. Annual Conference of the GfKl 2004,
Seiten 600--607,
Springer,
2004.
|
| Mierswa/2004c |
Mierswa, Ingo.
Automatic Feature Extraction from Large Time Series.
In
Abecker, A. and Bickel, S. and Brefeld, U. and Drost, I. and Henze, N. and Herden, O. and Minor, M. and Scheffer, T. and Stojanovic, L. and Weibelzahl, S. (editors),
Proc. of LWA 2004 - Lernen - Wissensentdeckung - Adaptivitat,
2004.
|
| Mierswa/Geisbe/2004a |
Mierswa, Ingo and Geisbe, Thorsten.
Multikriterielle evolutionare Aufstellungsoptimierung von Chemieanlagen unter Beachtung gewichteter Designregeln.
Collaborative Research Center 531, University of Dortmund,
Dortmund, Germany,
2004.
|
| Mierswa/Morik/2004a |
Mierswa, Ingo and Morik, Katharina.
Learning Feature Extraction for Learning from Audio Data.
No. 55/04,
Collaborative Research Center 475, University of Dortmund,
2004.
|
| Ritthoff/Klinkenberg/2003a |
Ritthoff, Oliver and Klinkenberg, Ralf.
Evolutionary Feature Space Transformation using Type-Restricted Generators.
In
Cantu-Paz, E. et al. (editors),
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2003) - Part II,
Seiten 1606--1607,
Springer,
2003.
|
| Daniel/etal/2002a |
Daniel, Guido and Dienstuhl, J. and Engell, S. and Felske, S. and Goser, K. and Klinkenberg, R. and Morik, K. and Ritthoff, O. and Schmidt-Traub, H..
Novel Learning Tasks, Optimization, and Their Application.
In
Schwefel, H.-P. and Wegener, I. and Weinert, K. (editors),
Advances in Computational Intelligence -- Theory and Practice,
Seiten 245--318,
Berlin, Germany,
Springer,
2002.
|
| Kleiner/etal/2002a |
Kleiner, M. and Dirksen, U. and Chatti, K. and Morik, K. and Ritthoff, O..
Online-Regelung fuer das Profilbiegen mit Methoden der Computational Intelligence.
In
Gronau, N. and Krallmann, H. and Scholz-Reiter, B. (editors),
Industrie Management,
No. 6,
Seiten 29--32,
Berlin,
GITO-Verlag,
2002.
|
| Klinkenberg/etal/2002a |
Klinkenberg, Ralf and Ritthoff, Oliver and Morik, Katharina.
Novel Learning Tasks From Practical Applications.
In
Henze, Nicola and Kókai, Gabriella and Zeidler, Jens (editors),
LLA'02: Lehren -- Lernen -- Adaptivitat, Proceedings of the workshop of the special interest groups Machine Learning (FGML), Intelligent Tutoring Systems (ILLS), and Adaptivity and User Modeling in Interactive Systems (ABIS) of the German Computer Science Society (GI),
Seiten 46--59,
Hannover, Germany,
University of Hannover,
2002.
|
| Klinkenberg/Slawinski/2002a |
Klinkenberg, Ralf and Slawinski, Timo.
Knowledge Management for Computational Intelligence.
No. CI-131/02,
Collaborative Research Center 531, University of Dortmund,
Dortmund, Germany,
2002.
|
| Ritthoff/etal/2002a |
Ritthoff, Oliver and Klinkenberg, Ralf and Fischer, Simon and Mierswa, Ingo.
A Hybrid Approach to Feature Selection and Generation Using an Evolutionary Algorithm.
No. CI-127/02,
Collaborative Research Center 531, University of Dortmund,
Dortmund, Germany,
2002.
|
| Ritthoff/etal/2002b |
Ritthoff, Oliver and Klinkenberg, Ralf and Fischer, Simon and Mierswa, Ingo.
A Hybrid Approach to Feature Selection and Generation Using an Evolutionary Algorithm.
In
Bullinaria, John A. (editors),
Proceedings of the 2002 U.K. Workshop on Computational Intelligence (UKCI-02),
Seiten 147--154,
Birmingham, UK,
University of Birmingham,
2002.
|
| Klinkenberg/Slawinski/2001a |
Klinkenberg, Ralf and Slawinski, Timo.
Wissensmanagement in der Computational Intelligence: Systematisierung der Beschreibung von Problemen, Methoden und Methodeneinsatzen.
In
Mikut, Ralf and Reischl, Markus (editors),
Proceedings 11. Workshop Fuzzy Control des VDI/VDE GMA-Fachausschuss 5.22,
Seiten 78--99,
Forschungszentrum Karlsruhe,
Karlsruhe, Germany,
2001.
|
| Tresp/etal/96a |
Tresp, Christopher and Becks, Andreas and Klinkenberg, Ralf and Hiltner, Jens.
Knowledge Representation In A World With Vague Concepts.
In
Albus, J. and Meystel, A. and Quintero, R. (editors),
Intelligent Systems: A Semiotic Perspective -- Proc. 1996 International Multidisciplinary Conf., Volume I: Theoretical Semiotics,
Seiten 71--76,
Gaithersburg, MD, USA,
1996.
|
| Altaf/etal/95a |
Altaf, Usamah and Klinkenberg, Ralf and Radu, Cosmin and Ratanapan, Kanchitpol and Hung, Yu-Chung and Dagli, Cihan.
Face Recognition Using Feature Extraction and Fuzzy Classification.
In
Dagli, C. H. and Akay, M. and Chen, C. L. P. and Fern\a'andez, B. R. and Ghosh, J. (editors),
Intelligent Engineering Systems Through Artificial Neural Networks -- Fuzzy Logic and Evolutionary Programming, Proc. Artificial Neural Networks In Engineering (ANNIE '95) Conf.,
Vol. 5,
Seiten 451--458,
New York, NY, USA,
ASME Press,
1995.
|
| Altaf/etal/95b |
Altaf, Usamah and Klinkenberg, Ralf and Dagli, Cihan.
Face Recognition: Fuzzy Classification versus Neural Networks.
In
Proc. Ninth Mid-American Symposium on Emerging Technologies (MASECT '95),
Seiten 6--14,
Tahlequah, OK, USA,
1995.
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