Connectionists: Neurocomputing volume 72 (issues 1-3)

[Tom Heskes]

Neurocomputing volume 72 (issues 1-3)

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SPECIAL PAPERS
(Machine Learning for Signal Processing ,MLSP 2006)

Machine Learning for Signal Processing (editorial)
Marc M. Van Hulle, Jan Larsen

Improving radial basis function kernel classification through 
incremental learning and automatic parameter selection
Carlos Renjifo, David Barsic, Craig Carmen, Kevin Norman, G. Scott Peacock

Signal theory for SVM kernel design with applications to parameter 
estimation and sequence kernels
J.D.B. Nelson, R.I. Damper, S.R. Gunn, B. Guo

A new information theoretic analysis of sum-of-squared-error kernel 
clustering
Robert Jenssen, Torbjørn Eltoft

Bayesian estimation of time delays between unevenly sampled signals
Markus Harva, Somak Raychaudhury

Probabilistic approach to detecting dependencies between data sets
Arto Klami, Samuel Kaski

Blind source separation based on endpoint estimation with application to 
the MLSP 2006 data competition
John A. Lee, Frédéric Vrins, Michel Verleysen

Wavelet-based separation of nonlinear show-through and bleed-through 
image mixtures
Mariana S.C. Almeida, Luís B. Almeida

Speaker-independent model-based single channel speech separation
M.H. Radfar, R.M. Dansereau, A. Sayadiyan

Efficient Bayesian inference for harmonic models via adaptive posterior 
factorization
Emmanuel Vincent, Mark D. Plumbley

Discovering speech phones using convolutive non-negative matrix 
factorisation with a sparseness constraint
Paul D. O’Grady, Barak A. Pearlmutter

Enhancing the correntropy MACE filter with random projections
Kyu-Hwa Jeong, Jose C. Principe

Denoising of magnetoencephalographic data using spatial averaging
Stephen J. Redmond, Conor Heneghan, Kenneth E. Hild II, Srikantan Nagarajan

Extensions of transductive learning for distributed ensemble 
classification and application to biometric authentication
David J. Miller, Siddharth Pal, Yue Wang

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SPECIAL PAPERS
(Life System Modelling, Simulation, and Bio-inspired Computing, LSMS 2007)

Life System Modelling, Simulation, and Bio-inspired Computing (editorial)
Kang Li, Xia Hong, George W. Irwin

The noninvasive reconstruction of 3D temperature field in a biological 
body with Monte Carlo method
Kai-Yang Li, Yong-Gang Dong, Cheng Chen, Shao-Ping Zhang

Clustering complex networks and biological networks by nonnegative 
matrix factorization with various similarity measures
Rui-Sheng Wang, Shihua Zhang, Yong Wang, Xiang-Sun Zhang, Luonan Chen

A lifecycle model for simulating bacterial evolution
B. Niu, Y.L. Zhu, X.X. He, H. Shen, Q.H. Wu

A population-based artificial immune system for numerical optimization
Maoguo Gong, Licheng Jiao, Xiangrong Zhang

Evolutionary stability affected by energy flow in the bio-network 
architecture
Hong-Bin Sun, Li-Hong Ren, Yong-Sheng Ding

ART2 neural network interacting with environment
Jian Fan, Yang Song, MinRui Fei

A Bayesian approach to support vector machines for the binary classification
Jiangsheng Yu, Fei Cheng, Huilin Xiong, Wanling Qu, Xue-wen Chen

Nonlinear-estimator-based robust synchronization of Hodgkin–Huxley neurons
Lingling Tian, Donghai Li, Xianfang Sun

Modeling and stability analysis of grey–fuzzy predictive control
Lisheng Wei, Minrui Fei, Huosheng Hu

Multimodality medical image fusion based on multiscale geometric 
analysis of contourlet transform
L. Yang, B.L. Guo, W. Ni

A simplified GLRAM algorithm for face recognition
Chong Lu, Wanquan Liu, Senjian An

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REGULAR PAPERS

Highlighting heterogeneous samples to support vector machines’ training
Chan-Yun Yang

Exponential stability of impulsive Cohen–Grossberg neural networks with 
time-varying delays and reaction–diffusion terms
Kelin Li, Qiankun Song

How to select an optimal neural model of chemical reactivity?
Maciej Szaleniec, Ryszard Tadeusiewicz, Małgorzata Witko

Kernel regression networks with local structural information and 
covariance volume adaptation
J.Y. Goulermas, P. Liatsis, X.-J. Zeng

A protein secondary structure prediction framework based on the Extreme 
Learning Machine
Guoren Wang, Yi Zhao, Di Wang

Neural network construction and training using grammatical evolution
Ioannis Tsoulos, Dimitris Gavrilis, Euripidis Glavas

Object recognition and tracking with maximum likelihood bidirectional 
associative memory networks
Hong Chang, Zuren Feng, Xiaoliang Wei

Pixel sensor integrated neuromorphic VLSI system for real-time applications
Koray Karahaliloglu, Patrick Gans, Nathan Schemm, Sina Balkir

A multi-subunit spatiotemporal model of local edge detector cells in the 
cat retina
Wang-Qiang Niu, Jing-Qi Yuan

A kernel-based fuzzy greedy multiple hyperspheres covering algorithm for 
pattern classification
Lei Gu, Hui-Zhong Wu

Improved delay-dependent exponential stability criteria for 
discrete-time recurrent neural networks with time-varying delays
Baoyong Zhang, Shengyuan Xu, Yun Zou

Nonadditive grey single-layer perceptron with Choquet integral for 
pattern classification problems using genetic algorithms
Yi-Chung Hu

Two-parameter bifurcation analysis of firing activities in the Chay 
neuronal model
Lixia Duan, Qishao Lu, Qinyun Wang

Two-directional maximum scatter difference discriminant analysis for 
face recognition
Jianguo Wang, Wankou Yang, Yusheng Lin, Jingyu Yang

A fast pruned-extreme learning machine for classification problem
Hai-Jun Rong, Yew-Soon Ong, Ah-Hwee Tan, Zexuan Zhu

Incremental constructive ridgelet neural network
Shuyuan Yang, Min Wang, Licheng Jiao

Wavelet-based contourlet in quality evaluation of digital images
Xinbo Gao, Wen Lu, Xuelong Li, Dacheng Tao

Global exponential stability of Cohen–Grossberg neural networks with 
distributed delays
Bao Tong Cui, Wei Wu

Structural identifiability of generalized constraint neural network 
models for nonlinear regression
Shuang-Hong Yang, Bao-Gang Hu, Paul-Henry Cournède

Image recognition system based on novel measures of image similarity and 
cluster validity
Chia-Yu Yen, Krzysztof J. Cios

Switching analysis of 2-D neural networks with nonsaturating linear 
threshold transfer functions
Hong Qu, Zhang Yi, XiaoBin Wang

A granular-oriented development of functional radial basis function 
neural networks
W. Pedrycz, H.S. Park, S.K. Oh

Stability analysis of stochastic fuzzy cellular neural networks with delays
Ling Chen, Hongyong Zhao

New criteria on global robust stability of Cohen–Grossberg neural 
networks with time-varying delays
Jun-e Feng, Shengyuan Xu

An experimental study of the extended NRBF regression model and its 
enhancement for classification problem
L. Ma, A. Wahab, G.S. Ng, S. Erdogan

The hidden neurons selection of the wavelet networks using support 
vector machines and ridge regression
Min Han, Jia Yin

A support vector machine with integer parameters
Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella

Development of a new EDRNN procedure in control of human arm trajectories
Shan Liu, Yongji Wang, Quanmin Zhu

Image thresholding using a novel estimation method in generalized 
Gaussian distribution mixture modeling
Shu-Kai S. Fan, Yen Lin, Chia-Chan Wu

Convergence of BP algorithm for product unit neural networks with 
exponential weights
C. Zhang, W. Wu, X.H. Chen, Y. Xiong

A dynamic algorithm for blind separation of convolutive sound mixtures
Jie Liu, Jack Xin, Yingyong Qi

An adaptive policy gradient in learning Nash equilibria
Huaxiang Zhang, Ying Fan

Numerical bounds to assure initial local stability of NARX multilayer 
perceptrons and radial basis functions
Eloy Irigoyen, Miguel Pinzolas

Evolutionary product-unit neural networks classifiers
F.J. Martínez-Estudillo, C. Hervás-Martínez, P.A. Gutiérrez, A.C. 
Martínez-Estudillo

An online Bayesian Ying–Yang learning applied to fuzzy CMAC
M.N. Nguyen, D. Shi, J. Fu

Shape recovery by a generalized topology preserving SOM
Dong Huang, Zhang Yi

Quantum-inspired evolutionary algorithm for continuous space 
optimization based on Bloch coordinates of qubits
Panchi Li, Shiyong Li

The cerebellum: An incomplete multilayer perceptron?
Horatiu Voicu

Model optimizing and feature selecting for support vector regression in 
time series forecasting
Wenwu He, Zhizhong Wang, Hui Jiang

A neural network-based diagnostic method for solitary pulmonary nodules
Chinson Yeh, Chen-Liang Lin, Ming-Ting Wu, Chen-Wen Yen, Jen-Feng Wang


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BRIEF PAPERS

Energy demand prediction using GMDH networks
Dipti Srinivasan

Population stochastic dynamics for synaptic depression
Wentao Huang, Licheng Jiao, Jianhua Jia

Binaural semi-blind dereverberation of noisy convoluted speech signals
Jong-Hwan Lee, Sang-Hoon Oh, Soo-Young Lee

State estimation for discrete-time neural networks with time-varying delays
Shaoshuai Mou, Huijun Gao, Wenyi Qiang, Zhongyang Fei

Avatar motion control by natural body movement via camera
Na Li, Chun Chen, Qiang Wang, Mingli Song, Dacheng Tao, Xuelong Li

Prediction error of a fault tolerant neural network
John Sum, Andrew Chi-Sing Leung

On the stability and bias–variance analysis of sparse SVMs
V. Vijaya Saradhi, Harish Karnick

A note on an extreme case of the generalized optimal discriminant 
transformation
M. Loog, X.-J. Wu, J.-P. Lu, J.-Y. Yang, S.-T. Wang, J. Kittler

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JOURNAL SITE: http://www.elsevier.com/locate/neucom
SCIENCE DIRECT:
http://www.sciencedirect.com/science/issue/5660-2008-999279998-703256