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Titlebook: Intelligent Data Engineering and Automated Learning – IDEAL 2008; 9th International Co Colin Fyfe,Dongsup Kim,Hujun Yin Conference proceedi

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Evolutionary Optimization of Union-Based Rule-Antecedent Fuzzy Neural Networks and Its Applications the development stage, genetic algorithm (GA) constructs a Boolean skeleton of URFNN, while gradient-based learning refines the binary connections of GA-optimized URFNN for further improvement of the performance index. A cart-pole system is considered to verify the effectiveness of the proposed method.
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Improving AdaBoost Based Face Detection Using Face-Color Preferable Selective Attention faces induced by complex background such as face-like non-face area, but can enhances a face detection speed by reducing region of interests through the face-color preferable selective attention model. The experimental results show that the proposed model shows plausible performance for localizing faces in real time.
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Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifoldsefel manifold, whereas existing algorithms consider additive orthogonality constraints. Experiments on several different document data sets show our orthogonal NMF algorithms perform better in a task of clustering, compared to the standard NMF and an existing orthogonal NMF.
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Feature Discovery by Enhancement and Relaxation of Competitive Unitsa simple artificial data and the famous Iris problem to show how well the method can extract the main features in input patterns. Experimental results showed that the method could more explicitly extract the main features in input patterns than the conventional techniques of the SOM.
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0302-9743 tificial neural networks, machine learning, evolutionary algorithms, artificial immune systems, ant algorithms, probabilistic modelling, fuzzy systems and agent978-3-540-88905-2978-3-540-88906-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Jian Li,Bo Su,Shenghong Li,Shilin Wang,Danhong Yao
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Cheng-Hong Yang,Chi-Chun Huang,Kuo-Chuan Wu,Hsin-Yun Chang
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