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ORCIDNeural Processing Letters, Volume 29
Volume 29, Number 1, February 2009
- Aladdin Shamilov
, Senay Asma:
On the Identifiability of Finite Mixtures Based on the Union of Logarithmic Series and Discrete Rectangular Families. 1-6 - Chan-Yun Yang, Che-Chang Hsu, Jr-Syu Yang:
Stray Example Sheltering by Loss Regularized SVM and k NN Preprocessor. 7-27 - Yi Zuo, Yaonan Wang, Lihong Huang, Zengyun Wang, Xinzhi Liu, Xiru Wu:
Robust Stability Criterion for Delayed Neural Networks with Discontinuous Activation Functions. 29-44 - Hyeyoung Park, Tomoko Ozeki:
Singularity and Slow Convergence of the EM algorithm for Gaussian Mixtures. 45-59
Volume 29, Number 2, April 2009
- Min-Ling Zhang:
Ml-rbf : RBF Neural Networks for Multi-Label Learning. 61-74 - Andrej Dobnikar, Branko Ster:
Structural Properties of Recurrent Neural Networks. 75-88 - Xiaoyan Mu, Paul Watta, Mohamad H. Hassoun:
Analysis of a Plurality Voting-based Combination of Classifiers. 89-107 - Heiko Hoffmann, Stefan Schaal, Sethu Vijayakumar:
Local Dimensionality Reduction for Non-Parametric Regression. 109-131 - Rui Zhang, Wenjian Wang, Yi-Chen Ma, Changqian Men:
Least Square Transduction Support Vector Machine. 133-142
Volume 29, Number 3, June 2009
- Hong Qu, Zhang Yi, XiaoBin Wang:
A Winner-Take-All Neural Networks of N Linear Threshold Neurons without Self-Excitatory Connections. 143-154 - Peyman Adibi, Reza Safabakhsh:
Information Maximization in a Linear Manifold Topographic Map. 155-178 - Miguel Ángel López, Francisco J. Pelayo, Eduardo Madrid, Alberto Prieto:
Statistical Characterization of Steady-State Visual Evoked Potentials and Their Use in Brain-Computer Interfaces. 179-187 - Sitian Qin, Xiaoping Xue:
Global Exponential Stability and Global Convergence in Finite Time of Neural Networks with Discontinuous Activations. 189-204 - Huisheng Zhang, Wei Wu:
Boundedness and Convergence of Online Gradient Method with Penalty for Linear Output Feedforward Neural Networks. 205-212 - Long Cheng, Zeng-Guang Hou, Min Tan:
A Simplified Neural Network for Linear Matrix Inequality Problems. 213-230
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