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Learning in non-stationary environments : methods and applications / [edited by] Moamar Sayed-Mouchaweh and Edwin Lughofer.

Contributor(s): Publication details: New York : Springer, 2012.Description: xii, 440 p. ; illISBN:
  • 9781489993403
Subject(s): DDC classification:
  • 006.31 23 Sa274
Contents:
Part I. Dynamic Methods for Unsupervised Learning Problems -- Incremental Statistical Measures / Katharina Tschumitschew and Frank Klawonn -- A Granular Description of Data: A Study in Evolvable Systems / Witold Pedrycz, John Berezowski and Iqbal Jamal -- Incremental Spectral Clustering / Abdelhamid Bouchachia and Markus Prossegger -- Prologue / Moamar Sayed-Mouchaweh and Edwin Lughofer -- Part II. Dynamic Methods for Supervised Classi?cation Problems -- Semisupervised Dynamic Fuzzy K-Nearest Neighbors / Laurent Hartert and Moamar Sayed-Mouchaweh -- Making Early Predictions of the Accuracy of Machine Learning Classifiers / James Edward Smith, Muhammad Atif Tahir, Davy Sannen and Hendrik Van Brussel -- Incremental Classifier Fusion and Its Applications in Industrial Monitoring and Diagnostics / Davy Sannen, Jean-Michel Papy, Steve Vandenplas, Edwin Lughofer and Hendrik Van Brussel -- Instance-Based Classification and Regression on Data Streams / Ammar Shaker and Eyke Hüllermeier. Part III. Dynamic Methods for Supervised Regression Problems -- Flexible Evolving Fuzzy Inference Systems from Data Streams (FLEXFIS++) / Edwin Lughofer -- Sequential Adaptive Fuzzy Inference System for Function Approximation Problems / Hai-Jun Rong -- Interval Approach for Evolving Granular System Modeling / Daniel Leite, Pyramo Costa and Fernando Gomide -- Part IV. Applications of Learning in Non-stationary Environments -- Dynamic Learning of Multiple Time Series in a Nonstationary Environment / Harya Widiputra, Russel Pears and Nikola Kasabov -- Optimizing Feature Calculation in Adaptive Machine Vision Systems / Christian Eitzinger and Stefan Thumfart -- Online Quality Control with Flexible Evolving Fuzzy Systems / Edwin Lughofer, Christian Eitzinger and Carlos Guardiola -- Identification of a Class of Hybrid Dynamic Systems / Moamar Sayed-Mouchaweh, Nadhir Messai, Omar Ayad and Sofiane Mazeghrane-- About the editors-- Index.
Summary: This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents recent methods and approaches for the design of systems able to learn and adapt.
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Includes index.

Part I. Dynamic Methods for Unsupervised Learning Problems --
Incremental Statistical Measures / Katharina Tschumitschew and Frank Klawonn --
A Granular Description of Data: A Study in Evolvable Systems / Witold Pedrycz, John Berezowski and Iqbal Jamal --
Incremental Spectral Clustering / Abdelhamid Bouchachia and Markus Prossegger --
Prologue / Moamar Sayed-Mouchaweh and Edwin Lughofer --

Part II. Dynamic Methods for Supervised Classi?cation Problems --
Semisupervised Dynamic Fuzzy K-Nearest Neighbors / Laurent Hartert and Moamar Sayed-Mouchaweh --
Making Early Predictions of the Accuracy of Machine Learning Classifiers / James Edward Smith, Muhammad Atif Tahir, Davy Sannen and Hendrik Van Brussel --
Incremental Classifier Fusion and Its Applications in Industrial Monitoring and Diagnostics / Davy Sannen, Jean-Michel Papy, Steve Vandenplas, Edwin Lughofer and Hendrik Van Brussel --
Instance-Based Classification and Regression on Data Streams / Ammar Shaker and Eyke Hüllermeier.

Part III. Dynamic Methods for Supervised Regression Problems --
Flexible Evolving Fuzzy Inference Systems from Data Streams (FLEXFIS++) / Edwin Lughofer --
Sequential Adaptive Fuzzy Inference System for Function Approximation Problems / Hai-Jun Rong --
Interval Approach for Evolving Granular System Modeling / Daniel Leite, Pyramo Costa and Fernando Gomide --

Part IV. Applications of Learning in Non-stationary Environments --
Dynamic Learning of Multiple Time Series in a Nonstationary Environment / Harya Widiputra, Russel Pears and Nikola Kasabov --
Optimizing Feature Calculation in Adaptive Machine Vision Systems / Christian Eitzinger and Stefan Thumfart --
Online Quality Control with Flexible Evolving Fuzzy Systems / Edwin Lughofer, Christian Eitzinger and Carlos Guardiola --
Identification of a Class of Hybrid Dynamic Systems / Moamar Sayed-Mouchaweh, Nadhir Messai, Omar Ayad and Sofiane Mazeghrane--
About the editors--
Index.

This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents recent methods and approaches for the design of systems able to learn and adapt.

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