| Vorliegende Sprache |
eng |
| Hinweise auf parallele Ausgaben |
253027365 Buchausg. u.d.T.: ‡Multi-objective machine learning |
| ISBN |
978-3-540-30676-4 |
| Name |
Jin, Yaochu |
| T I T E L |
Multi-Objective Machine Learning |
| Verlagsort |
Berlin, Heidelberg |
| Verlag |
Springer Berlin Heidelberg |
| Erscheinungsjahr |
2006 |
| 2006 |
| Umfang |
Online-Ressource (XIII, 660 p. Also available online, digital) |
| Reihe |
Studies in Computational Intelligence ; 16 |
| Notiz / Fußnoten |
Includes bibliographical references and index |
| Titelhinweis |
Buchausg. u.d.T.: ‡Multi-objective machine learning |
| ISBN |
ISBN 978-3-540-33019-6 |
| Klassifikation |
MAT003000 |
| *68T05 |
| 68-06 |
| 00B15 |
| TBJ |
| TEC009000 |
| 519 |
| 004 |
| 510 |
| TA329-348 |
| TA640-643 |
| ST 302 |
| Kurzbeschreibung |
Multi-Objective Clustering, Feature Extraction and Feature Selection -- Feature Selection Using Rough Sets -- Multi-Objective Clustering and Cluster Validation -- Feature Selection for Ensembles Using the Multi-Objective Optimization Approach -- Feature Extraction Using Multi-Objective Genetic Programming -- Multi-Objective Learning for Accuracy Improvement -- Regression Error Characteristic Optimisation of Non-Linear Models -- Regularization for Parameter Identification Using Multi-Objective Optimization -- Multi-Objective Algorithms for Neural Networks Learning -- Generating Support Vector Machines Using Multi-Objective Optimization and Goal Programming -- Multi-Objective Optimization of Support Vector Machines -- Multi-Objective Evolutionary Algorithm for Radial Basis Function Neural Network Design -- Minimizing Structural Risk on Decision Tree Classification -- Multi-objective Learning Classifier Systems -- Multi-Objective Learning for Interpretability Improvement -- Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers -- GA-Based Pareto Optimization for Rule Extraction from Neural Networks -- Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems -- Multi-objective Evolutionary Algorithm for Temporal Linguistic Rule Extraction -- Multiple Objective Learning for Constructing Interpretable Takagi-Sugeno Fuzzy Model -- Multi-Objective Ensemble Generation -- Pareto-Optimal Approaches to Neuro-Ensemble Learning -- Trade-Off Between Diversity and Accuracy in Ensemble Generation -- Cooperative Coevolution of Neural Networks and Ensembles of Neural Networks -- Multi-Objective Structure Selection for RBF Networks and Its Application to Nonlinear System Identification -- Fuzzy Ensemble Design through Multi-Objective Fuzzy Rule Selection -- Applications of Multi-Objective Machine Learning -- Multi-Objective Optimisation for Receiver Operating Characteristic Analysis -- Multi-Objective Design of Neuro-Fuzzy Controllers for Robot Behavior Coordination -- Fuzzy Tuning for the Docking Maneuver Controller of an Automated Guided Vehicle -- A Multi-Objective Genetic Algorithm for Learning Linguistic Persistent Queries in Text Retrieval Environments -- Multi-Objective Neural Network Optimization for Visual Object Detection. |
| 2. Kurzbeschreibung |
Recently, increasing interest has been shown in applying the concept of Pareto-optimality to machine learning, particularly inspired by the successful developments in evolutionary multi-objective optimization. It has been shown that the multi-objective approach to machine learning is particularly successful to improve the performance of the traditional single objective machine learning methods, to generate highly diverse multiple Pareto-optimal models for constructing ensembles models and, and to achieve a desired trade-off between accuracy and interpretability of neural networks or fuzzy systems. This monograph presents a selected collection of research work on multi-objective approach to machine learning, including multi-objective feature selection, multi-objective model selection in training multi-layer perceptrons, radial-basis-function networks, support vector machines, decision trees, and intelligent systems. |
| 1. Schlagwortkette |
Maschinelles Lernen |
| Mehrkriterielle Optimierung |
| Aufsatzsammlung |
| Online-Publikation |
| 1. Schlagwortkette ANZEIGE DER KETTE |
Maschinelles Lernen -- Mehrkriterielle Optimierung -- Aufsatzsammlung -- Online-Publikation |
| 2. Schlagwortkette |
Maschinelles Lernen |
| Mehrkriterielle Optimierung |
| Evolutionsstrategie |
| 2. Schlagwortkette ANZEIGE DER KETTE |
Maschinelles Lernen -- Mehrkriterielle Optimierung -- Evolutionsstrategie |
| 3. Schlagwortkette |
Maschinelles Lernen |
| Mehrkriterielle Optimierung |
| Merkmalsextraktion |
| 3. Schlagwortkette ANZEIGE DER KETTE |
Maschinelles Lernen -- Mehrkriterielle Optimierung -- Merkmalsextraktion |
| 4. Schlagwortkette |
Maschinelles Lernen |
| Mehrkriterielle Optimierung |
| Soft Computing |
| 4. Schlagwortkette ANZEIGE DER KETTE |
Maschinelles Lernen -- Mehrkriterielle Optimierung -- Soft Computing |
| 5. Schlagwortkette |
Maschinelles Lernen |
| Mehrkriterielle Optimierung |
| ANZEIGE DER KETTE |
Maschinelles Lernen -- Mehrkriterielle Optimierung |
| 6. Schlagwortkette |
Maschinelles Lernen |
| Mehrkriterielle Optimierung |
| Evolutionsstrategie |
| ANZEIGE DER KETTE |
Maschinelles Lernen -- Mehrkriterielle Optimierung -- Evolutionsstrategie |
| 7. Schlagwortkette |
Maschinelles Lernen |
| Mehrkriterielle Optimierung |
| Merkmalsextraktion |
| ANZEIGE DER KETTE |
Maschinelles Lernen -- Mehrkriterielle Optimierung -- Merkmalsextraktion |
| 8. Schlagwortkette |
Maschinelles Lernen |
| Mehrkriterielle Optimierung |
| Soft Computing |
| ANZEIGE DER KETTE |
Maschinelles Lernen -- Mehrkriterielle Optimierung -- Soft Computing |
| SWB-Titel-Idn |
264360567 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/3-540-33019-4 |
| Internetseite / Link |
Volltext |
| Siehe auch |
Volltext |
| Siehe auch |
Inhaltstext |
| Siehe auch |
Cover |
| Siehe auch |
Inhaltstext |
