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  • 1
    UID:
    b3kat_BV042428922
    Format: 1 Online-Ressource (VIII, 434S.)
    Edition: 3. Auflage
    ISBN: 9783322803368 , 9783528252656
    Series Statement: Computational Intelligence
    Note: Eines der spannendsten Themen im Bereich intelligenter Systeme - von namhaften Autoren geschrieben - zum Lernen und Nachschlagen. Das Buch führt in das Thema der Neuronalen Netze ein und weist darüber hinaus den Weg bis zum vollen Verständnis modernster Fuzzy-Systeme. Neuronale Netze sind ein wichtiges Werkzeug in den Bereichen der Datenanalyse und Mustererkennung. Ursprünglich durch das biologische Vorbild inspiriert, wurde eine Vielfalt neuronaler Netze für verschiedenste Anwendungen entwickelt. Ihre Kopplung mit Fuzzy-Systemen führt zu den sogenannten Neuro-Fuzzy-Systemen. Diese weisen die Lernfähigkeit Neuronaler Netze auf und bieten gleichzeitig den Vorteil einer transparenten regelbasierten Struktur. Sie sind daher besonders vorteilhaft für Anwendungsbereiche, in denen verständliche Lösungen aus Daten erzeugt werden müssen
    Language: German
    Keywords: Neuro-Fuzzy-System ; Neuronales Netz ; Fuzzy-Logik
    URL: Volltext  (lizenzpflichtig)
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  • 2
    UID:
    gbv_682092045
    Format: Online-Ressource , v.: digital
    Edition: Online-Ausg. 2012 Springer eBook Collection. Computer Science & Engineering
    ISBN: 9783834882998
    Series Statement: Computational intelligence
    Additional Edition: ISBN 9783834812759
    Additional Edition: Druckausg. Computational Intelligence Wiesbaden : Vieweg + Teubner, 2011 ISBN 3834812757
    Additional Edition: ISBN 9783834812759
    Language: German
    Subjects: Computer Science
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    Keywords: Soft Computing
    Author information: Kruse, Rudolf 1952-
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  • 3
    UID:
    gbv_334321557
    Format: VIII, 358 S , graph. Darst , graph. Darst , 24 cm
    Edition: Repr
    ISBN: 0470843373
    Note: Literaturverz. S. 329 - 347
    Language: English
    Subjects: Computer Science , Economics , Psychology , Mathematics
    RVK:
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    Keywords: Datenanalyse ; Graphisches Modell ; Data Mining ; Graphisches Modell ; Data Mining ; Grafische Darstellung ; Bibliografie
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  • 4
    UID:
    gbv_595121012
    Format: Online-Ressource (XVI, 632 p) , digital
    Edition: Online-Ausg. 2003
    ISBN: 9783540452317
    Series Statement: Lecture Notes in Computer Science 2811
    Content: Machine Learning -- Pruning for Monotone Classification Trees -- Regularized Learning with Flexible Constraints -- Learning to Answer Emails -- A Semi-supervised Method for Learning the Structure of Robot Environment Interactions -- Using Domain Specific Knowledge for Automated Modeling -- Resolving Rule Conflicts with Double Induction -- A Novel Partial-Memory Learning Algorithm Based on Grey Relational Structure -- Constructing Hierarchical Rule Systems -- Text Categorization Using Hybrid Multiple Model Schemes -- Probability and Topology -- Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies -- Topology and Intelligent Data Analysis -- Coherent Conditional Probability as a Measure of Information of the Relevant Conditioning Events -- Very Predictive Ngrams for Space-Limited Probabilistic Models -- Interval Estimation Naïve Bayes -- Mining Networks and Central Entities in Digital Libraries. A Graph Theoretic Approach Applied to Co-author Networks -- Classification and Pattern Recognition -- Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs -- An Effective Associative Memory for Pattern Recognition -- Similarity Based Classification -- Numerical Attributes in Decision Trees: A Hierarchical Approach -- Similarity-Based Neural Networks for Applications in Computational Molecular Biology -- Combining Pairwise Classifiers with Stacking -- APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery -- Solving Classification Problems Using Infix Form Genetic Programming -- Clustering -- What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier -- A Mixture Model Approach for Binned Data Clustering -- Fuzzy Clustering Based Segmentation of Time-Series -- An Iterated Local Search Approach for Minimum Sum-of-Squares Clustering -- Data Clustering in Tolerance Space -- Refined Shared Nearest Neighbors Graph for Combining Multiple Data Clusterings -- Clustering Mobile Trajectories for Resource Allocation in Mobile Environments -- Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points -- Combining and Comparing Cluster Methods in a Receptor Database -- Applications -- Selective Sampling with a Hierarchical Latent Variable Model -- Obtaining Quality Microarray Data via Image Reconstruction -- Large Scale Mining of Molecular Fragments with Wildcards -- Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel -- Towards Automated Electrocardiac Map Interpretation: An Intelligent Contouring Tool Based on Spatial Aggregation -- Study of Canada/US Dollar Exchange Rate Movements Using Recurrent Neural Network Model of FX-Market -- Gaussian Mixture Density Estimation Applied to Microarray Data -- Classification of Protein Localisation Patterns via Supervised Neural Network Learning -- Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software -- The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction -- Modeling -- A Multiagent-Based Constructive Approach for Feedforward Neural Networks -- Evolutionary System Identification via Descriptive Takagi Sugeno Fuzzy Systems -- Minimum Message Length Criterion for Second-Order Polynomial Model Selection Applied to Tropical Cyclone Intensity Forecasting -- On the Use of the GTM Algorithm for Mode Detection -- Regularization Methods for Additive Models -- Automated Detection of Influenza Epidemics with Hidden Markov Models -- Guided Incremental Construction of Belief Networks -- Distributed Regression for Heterogeneous Data Sets -- (Data) Preprocessing -- A Logical Formalisation of the Fellegi-Holt Method of Data Cleaning -- Compression Technique Preserving Correlations of a Multivariate Temporal Sequence -- Condensed Representations in Presence of Missing Values -- Measures of Rule Quality for Feature Selection in Text Categorization -- Genetic Approach to Constructive Induction Based on Non-algebraic Feature Representation -- Active Feature Selection Based on a Very Limited Number of Entities.
    Content: We are glad to present the proceedings of the 5th biennial conference in the Intelligent Data Analysis series. The conference took place in Berlin, Germany, August 28–30, 2003. IDA has by now clearly grown up. Started as a small si- symposium of a larger conference in 1995 in Baden-Baden (Germany) it quickly attractedmoreinterest(bothsubmission-andattendance-wise),andmovedfrom London (1997) to Amsterdam (1999), and two years ago to Lisbon. Submission ratesalongwiththeeverimprovingqualityofpapershaveenabledtheor- nizers to assemble increasingly consistent and high-quality programs. This year we were again overwhelmed by yet another record-breaking submission rate of 180 papers. At the Program Chairs meeting we were – based on roughly 500 reviews – in the lucky position of carefully selecting 17 papers for oral and 42 for poster presentation. Poster presenters were given the opportunity to summarize their papers in 3-minute spotlight presentations. The oral, spotlight and poster presentations were then scheduled in a single-track, 2. 5-day conference program, summarized in this book. In accordance with the goal of IDA, “to bring together researchers from diverse disciplines,” we achieved a nice balance of presentations from the more theoreticalside(bothstatisticsandcomputerscience)aswellasmoreapplicati- oriented areas that illustrate how these techniques can be used in practice. Work presented in these proceedings ranges from theoretical contributions dealing, for example, with data cleaning and compression all the way to papers addressing practical problems in the areas of text classi?cation and sales-rate predictions. A considerable number of papers also center around the currently so popular applications in bioinformatics.
    Additional Edition: ISBN 9783540408130
    Additional Edition: Druckausg. Advances in Intelligent Data Analysis V / Michael R. Berthold
    Language: English
    URL: Volltext  (lizenzpflichtig)
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