Learning in Non-Stationary Environments: Methods and Applications - Brossura

Brossura

ISBN 10: 1441980210 ISBN 13: 9781441980212

Casa editrice: Springer, 2012

Riassunto

Prologue.- Part I: Dynamic Methods for Unsupervised Learning Problems.- Incremental Statistical Measures.- A Granular Description of Data: A Study in Evolvable Systems.- Incremental Spectral Clustering.- Part II: Dynamic Methods for Supervised Classification Problems.- Semi-Supervised Dynamic Fuzzy K-Nearest Neighbors.- Making Early Predictions of the Accuracy of Machine Learning Classifiers.- Incremental Classifier Fusion and its Applications in Industrial Monotiroing and Diagnostics.- Instance-Based Classification and Regression on Data Streams.- Part III: Dynamic Methods for Supervised Regression Problems.- Flexible Evolving Fuzzy Inference Systems from Data Streams (FLEXFIS++).- Sequential Adaptive Fuzzy Inference System for Function Approximation Problems.- Interval Approach for Evolving Granular System Modeling.- Part IV: Applications of Learning in Non-Stationary Environments.- Dynamic Learning in Multiple Time-Series in a Non-Stationary Environmenty.- Optimizing Feature Calculation in Adaptive Machine Vision Systems.- On-line Quality Contol with Flexible Evolving Fuzzy Systems.- Identification of a Class of Hybrid Dynamic Systems.

Dettagli dell?edizione

• Editore: Springer
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 1441980210
• ISBN 13: 9781441980212
• Rilegatura: Paperback
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile