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ORCIDMulti-Objective Machine Learning 2006
- Yaochu Jin:
Multi-Objective Machine Learning. Studies in Computational Intelligence 16, Springer 2006, ISBN 978-3-540-30676-4 - Mohua Banerjee, Sushmita Mitra, Ashish Anand:
Feature Selection Using Rough Sets. 3-20 - Julia Handl, Joshua D. Knowles:
Multi-Objective Clustering and Cluster Validation. 21-47 - Luiz S. Oliveira, Marisa E. Morita, Robert Sabourin:
Feature Selection for Ensembles Using the Multi-Objective Optimization Approach. 49-74 - Yang Zhang, Peter I. Rockett:
Feature Extraction Using Multi-Objective Genetic Programming. 75-99 - 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 - Thorsten Suttorp, Christian Igel:
Multi-Objective Optimization of Support Vector Machines. 199-220 - 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 - José Miguel Lucas, Humberto Martínez, Fernando Jiménez:
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 Rainer Tassilo Gepperth, Christian Igel:
Multi-Objective Neural Network Optimization for Visual Object Detection. 629-655
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