Publikationen


Suche nach „[Bernhard] [Sick]“ hat 115 Publikationen gefunden
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    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    O. Buchtala, Bernhard Sick

    Functional Knowledge Exchange Within an Intelligent Distributed System

    Architecture of computing systems - ARCS 2007, Berlin [u.a.], vol. 4415

    2007

    ISBN: 978-3540712671

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    T. Schoen, Bernhard Sick, et al.

    Hazard Situation Prediction Using Spatially and Temporally Distributed Vehicle Sensor Information

    Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2007); Honolulu, HI, USA; 01.-05.04.2007

    2007

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    S. Ovaska, Bernhard Sick

    Fusion of Soft Computing and Hard Computing: Applications and Research Opportunities

    Chapter 3

    Computational Intelligence: Principles and Practice; IEEE Computational Intelligence Society, Piscataway; 2006 (keynote article of the International Joint Conference on Neural Networks 2006, Vancouver)

    2006

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    C. Mueller-Schloer, Bernhard Sick

    Emergence in Organic Computing Systems: Discussion of a Controversial Concept

    Autonomic and Trusted Computing, Berlin [u.a.], vol. 4158

    2006

    ISBN: 978-3540386193

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    C. Gruber, M. Coduro, Bernhard Sick

    Signature Verication with Dynamic RBF Networks and Time Series Motifs

    Proceedings of the 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR); La Baule, Frankreich; 23.-26.10.2006

    2006

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    J. Hofer, C. Gruber, Bernhard Sick

    Biometric Analysis of Handwriting Dynamics Using a Script Generator Model

    IEEE Mountain Workshop on Adaptive and Learning Systems (SMCals/06); Logan, UT, USA; 24.-26.07.2006

    2006

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    C. Gruber, C. Hook, J. Kempf, G. Scharfenber, Bernhard Sick

    A Flexible Architecture for Online Signature Verication Based on a Novel Biometric Pen

    IEEE Mountain Workshop on Adaptive and Learning Systems (SMCals/06); Logan, UT, USA; 24.-26.07.2006

    2006

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    M. Reiss, Bernhard Sick, et al.

    Collaborative Situation-Awareness in Vehicles by Means of Spatio-Temporal Information Fusion With Probabilistic Networks

    IEEE Mountain Workshop on Adaptive and Learning Systems (SMCals/06); Logan, UT, USA; 24.-26.07.2006

    2006

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    O. Buchtala, Bernhard Sick

    Techniques for the Fusion of Symbolic Rules in Distributed Organic Systems

    IEEE Mountain Workshop on Adaptive and Learning Systems (SMCals/06); Logan, UT, USA; 24.-26.07.2006

    2006

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    T. Gruber, C. Gruber, Bernhard Sick

    Online Signature Verification With New Time Series Kernels for Support Vector Machines

    Advances in biometrics, Berlin; New York, vol. 3832

    2006

    ISBN: 978-3540311119

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    M. Bauer, O. Buchtala, T. Horeis, R. Kern, Bernhard Sick, et al.

    Process Identification and Quality Control with Evolutionary Optimized RBF Classiers

    Proceedings of the IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications (SMCia/05); Espoo, Finnland; 28.-30.06.2005

    2005

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    P. Neumann, D. Arndt, Bernhard Sick

    An Application of Evolutionary and Neural Data Mining Techniques to Customer Relationship Management

    Next generation data mining applications, Hoboken, N.J

    2005

    ISBN: 978-0471656050

    F: Maschinenbau und Mechatronik

    Zeitschriftenartikel

    O. Buchtala, M. Kilmek, Bernhard Sick

    Evolutionary Optimization of Radial Basis Function Classiers for Data Mining Applications

    IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, vol. 35, no. 5, pp. 928-947

    2005

    Abstract anzeigen

    In many data mining applications that address classification problems, feature and model selection are considered as key tasks. That is, appropriate input features of the classifier must be selected from a given (and often large) set of possible features and structure parameters of the classifier must be adapted with respect to these features and a given data set. This paper describes an evolutionary algorithm (EA) that performs feature and model selection simultaneously for radial basis function (RBF) classifiers. In order to reduce the optimization effort, various techniques are integrated that accelerate and improve the EA significantly: hybrid training of RBF networks, lazy evaluation, consideration of soft constraints by means of penalty terms, and temperature-based adaptive control of the EA. The feasibility and the benefits of the approach are demonstrated by means of four data mining problems: intrusion detection in computer networks, biometric signature verification, customer acquisition with direct marketing methods, and optimization of chemical production processes. It is shown that, compared to earlier EA-based RBF optimization techniques, the runtime is reduced by up to 99% while error rates are lowered by up to 86%, depending on the application. The algorithm is independent of specific applications so that many ideas and solutions can be transferred to other classifier paradigms.

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    O. Buchtala, W. Grass, A. Hofmann, Bernhard Sick

    A Distributed Intrusion Detection Architecture With Organic Behavior

    Proceedings of the First CRIS International Workshop on Critical Information Infrastructures (CIIW'05); Linköping, Schweden; 17.-18.05.2005

    2005

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    Bernhard Sick, S. Ovaska

    Fusion of Soft and Hard Computing Techniques: A Multi-Dimensional Categorization Scheme

    Proceedings of the IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications (SMCia/05); Espoo, Finnland; 28.-30.06.2005

    2005

    F: Elektrotechnik und MedientechnikF: Maschinenbau und Mechatronik

    Vortrag

    M. Bauer, O. Buchtala, T. Horeis, R. Kern, Bernhard Sick, et al.

    Process Identification and Quality Control with Evolutionary Optimized RBF Classiers

    IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications (SMCia/05), Espoo, Finnland

    2005

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    F. Weitl, B. Freitag, W. Grass, Bernhard Sick, et al.

    Mediendidaktische Aufbereitung von Vorlesungsinhalten für das Online-Lernen

    Tagungsband zum Workshop "Structured eLearning: Wissenswerkstatt Rechensysteme"; 30.03.2004, Rostock-Warnemünde

    2004

    F: Maschinenbau und Mechatronik

    Hochschulschrift

    Bernhard Sick

    Fusion of Soft and Hard Computing Methods

    2004

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    Bernhard Sick

    Indirect Online Tool Wear Monitoring

    Chapter 6

    Computationally intelligent hybrid systems, Hoboken, NJ

    2004

    ISBN: 978-0471476689

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    W. Maydl, Bernhard Sick, et al.

    Component-Based Measurement and Control Software for Embedded Systems

    Component-based software development, River Edge, N.J, vol. v. 1

    2004

    ISBN: 978-9812388285