Computational intelligence is a paradigm containing different theories derived from biological ideas. In many cases methods of computational intelligence can deliver at least approximately correct solutions for hard problems. The area contains methods like neurocomputing, fuzzy systems, and evolutionary algorithms.
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,
pages 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,
pages 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,
pages 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,
pages 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,
pages 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,
pages 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,
pages 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,
pages 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,
pages 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,
pages 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),
pages 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),
pages 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,
pages 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,
pages 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,
pages 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),
pages 6--14,
Tahlequah, OK, USA,
1995.
|