Connectionists: Book announcement "Multi-Objective Machine Learning"

[Yaochu.Jin@honda-ri.de]

Multi-Objective Machine Learning
Series: Studies in Computational Intelligence, Vol. 16
Jin, Yaochu (Ed.)
Springer
2006, XIII, 660 p. 255 illus., Hardcover
ISBN: 3-540-30676-5


Table of Contents

Part I Multi-Objective Clustering, Feature Extraction and Feature Selection

1. Multiobjective feature selection using rough set
M. Banerjee, S. Mitra, and A. Anand

2. Multi-objective clustering and cluster validation
J. Handl and J. Knowles

3. Feature selection for ensembles using the MOO approach
L.S. Oliveira, M. Morita, and R. Sabourin

4. Feature extraction using multi-objective genetic programming
Y. Zhang and P.I. Rockett

Part II Multi-Objective Learning for Accuracy Improvement

5. Regression error characteristic optimization using multi-objective
optimization
J. E. Fieldsend

6. Regularization for parameter identifcation using multi-objective
optimization
T. Furukawa, C. Lee, J.G. Michpoulos

7. Multi-objective algorithms for nrural network learning
A. Braga, R. Takahashi, M. Costa, R. de A. Teixeira

8. Generating support vector machine using multi-objective optimization and
goal programming
H. Nakayama, Y. Yun

9. Multi-objective optimization of support vector machines
T. Suttorp and C. Igel

10. Multi-objecitve evolutionary algorithms for radial basis function
neural network design
G. G. Yen

11. Min imizing structural risk on decision tree classification
D.-E. Kim

12. Multi-objective learning classifier systems
E. Bernado-Mansilla, X. Llora, I. Traus

Part III Multi-Objective Learning for Interpretability Improvement

13. Simultaneous generation of accurate and interpretable neural network
classifiers
Y. Jin, B. Sendhoff, E. Koerner

14. GA-based Pareto optimization for rule extraction from neural networks
U. Markowska-Kaczmar, K. Mularczyk

15. Agent based multi-objective approach to generating interpretable fuzzy
systems
H. Wang, S. Kwong, Y. Jin, C.-H. Tsang

16. Multi-objective evolutionary algorithms for temporal linguistic rule
extraction
G.G. Yen

17. Multiple objective learning for constructing interpretable TS fuzzy
model
S.M. Zhou, J.Q. Gan


Part IV Multi-Objective Ensemble Generation

18. Pareto-optimal approaches to neuro-ensemble learning
H. Abbass

19. Trade-off between diversity and accuracy in ensemble generation
A. Chandra, H. Chen, X. Yao

20. Cooperative coevolution of neural networks and ensemble of neural
networks
N. Garcia-Pedrajas

21. Multi-objective structure selection for RBF networks and its
application to nonlinear system identification
T. Hatanaka, N. Kondo, K. Uosaki

22. Fuzzy ensemble design through multi-objective fuzzy rule selection
H. Ishibuchi, Y. Nojima

Part V Applications of Multi_objective Machine Learning

23. Multi-objective optimization for receiver operating characterics
analysis
R.M. Everson, J.E. Fieldsend

24. Multi-objective design of neuro-fuzzy controllers for robot behavior
coordination
N. Kubota

25. Fuzzy tuning for docking maneuver Controller of an automated guided
vehicle
J.M. Lucas, H. Martinez, F. Jimenez

26. A multi-objective genetic algorithm for learning linguistic persistent
queries in text retrieval environments
M. Luque, O. Cordon, E. Herrera-Viedma

27. Multi-objective neural network optimization for visual object detection
S. Roth, A. gepperth, C. Igel

Index