Multi-Objective Machine Learning 2006
Yaochu Jin (Ed.): Multi-Objective Machine Learning. Springer 2006 Studies in Computational Intelligence ISBN 978-3-540-30676-4- Luiz S. Oliveira, Marisa E. Morita, Robert Sabourin: Feature Selection for Ensembles Using the Multi-Objective Optimization Approach. 49-74
- Jonathan E. Fieldsend: Regression Error Characteristic Optimisation of Non-Linear Models. 103-123
- Tomonari Furukawa, Chen Jian Ken Lee, John Michopoulos: Regularization for Parameter Identification Using Multi-Objective Optimization. 125-149
- Antônio de Pádua Braga, Ricardo H. C. Takahashi, Marcelo Azevedo Costa, Roselito de Albuquerque Teixeira: Multi-Objective Algorithms for Neural Networks Learning. 151-171
- Hirotaka Nakayama, Yeboon Yun: Generating Support Vector Machines Using Multi-Objective Optimization and Goal Programming. 173-198
- Gary G. Yen: Multi-Objective Evolutionary Algorithm for Radial Basis Function Neural Network Design. 221-239
- DaeEun Kim: Minimizing Structural Risk on Decision Tree Classification. 241-260
- Ester Bernadó i Mansilla, Xavier Llorà, Ivan Traus: Multi-objective Learning Classifier Systems. 261-288
- Yaochu Jin, Bernhard Sendhoff, Edgar Körner: Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers. 291-312
- Urszula Markowska-Kaczmar, Krystyna Mularczyk: GA-Based Pareto Optimization for Rule Extraction from Neural Networks. 313-338
- Hanli Wang, Sam Kwong, Yaochu Jin, Chi-Ho Tsang: Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems. 339-364
- Gary G. Yen: Multi-objective Evolutionary Algorithm for Temporal Linguistic Rule Extraction. 365-383
- Shang-Ming Zhou, John Q. Gan: Multiple Objective Learning for Constructing Interpretable Takagi-Sugeno Fuzzy Model. 385-403
- Hussein A. Abbass: Pareto-Optimal Approaches to Neuro-Ensemble Learning. 407-427
- Arjun Chandra, Huanhuan Chen, Xin Yao: Trade-Off Between Diversity and Accuracy in Ensemble Generation. 429-464
- Nicolás García-Pedrajas: Cooperative Coevolution of Neural Networks and Ensembles of Neural Networks. 465-490
- Toshiharu Hatanaka, Nobuhiko Kondo, Katsuji Uosaki: Multi-Objective Structure Selection for RBF Networks and Its Application to Nonlinear System Identification. 491-505
- Hisao Ishibuchi, Yusuke Nojima: Fuzzy Ensemble Design through Multi-Objective Fuzzy Rule Selection. 507-530
- Richard M. Everson, Jonathan E. Fieldsend: Multi-Objective Optimisation for Receiver Operating Characteristic Analysis. 533-556
- Naoyuki Kubota: Multi-Objective Design of Neuro-Fuzzy Controllers for Robot Behavior Coordination. 557-584
- J. M. Lucas, H. Martinez, F. Jimenez: Fuzzy Tuning for the Docking Maneuver Controller of an Automated Guided Vehicle. 585-600
- María Luque, Oscar Cordón, Enrique Herrera-Viedma: A Multi-Objective Genetic Algorithm for Learning Linguistic Persistent Queries in Text Retrieval Environments. 601-627
- Stefan Roth, Alexander Gepperth, Christian Igel: Multi-Objective Neural Network Optimization for Visual Object Detection. 629-655
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last updated on 2013-06-17T203624 by the dblp team