Connectionists: Neurocomputing volume 73 (issues 7-9)

[Tom Heskes]

Connectionists:  Neurocomputing volume 73 (issues 7-9)

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SPECIAL PAPERS
(Advances in Computational Intelligence and Learning, ESANN 2009)

Advances in computational intelligence and learning (editorial)
Cecilio Angulo, John A. Lee, Frank-Michael Schleif

Oscillation in a network model of neocortex
Jennifer Dwyer, Hyong Lee, Amber Martell, Rick Stevens, Mark Hereld, Wim 
van Drongelen

Producing pattern examples from “mental” images
Bruno P.A. Grieco, Priscila M.V. Lima, Massimo De Gregorio, Felipe M.G. 
França

A cortical model for binocular vergence control without explicit 
calculation of disparity
Agostino Gibaldi, Manuela Chessa, Andrea Canessa, Silvio P. Sabatini, 
Fabio Solari

Adaptive local dissimilarity measures for discriminative dimension 
reduction of labeled data
Kerstin Bunte, Barbara Hammer, Axel Wismüller, Michael Biehl

Transformations in variational Bayesian factor analysis to speed up learning
Jaakko Luttinen, Alexander Ilin

X-SOM and L-SOM: A double classification approach for missing value 
imputation
Paul Merlin, Antti Sorjamaa, Bertrand Maillet, Amaury Lendasse

Median fuzzy c-means for clustering dissimilarity data
Tina Geweniger, Dietlind Zülke, Barabara Hammer, Thomas Villmann

Hyperparameter learning in probabilistic prototype-based models
Petra Schneider, Michael Biehl, Barbara Hammer

Exploratory analysis of functional data via clustering and optimal 
segmentation
Georges Hébrail, Bernard Hugueney, Yves Lechevallier, Fabrice Rossi

Optimizing an organized modularity measure for topographic graph 
clustering: A deterministic annealing approach
Fabrice Rossi, Nathalie Villa-Vialaneix

Efficient voting prediction for pairwise multilabel classification
Eneldo Loza Mencía, Sang-Hyeun Park, Johannes Fürnkranz

Multi-task preference learning with an application to hearing aid 
personalization
Adriana Birlutiu, Perry Groot, Tom Heskes

A new variational radial basis function approximation for inference in 
multivariate diffusions
Michail D. Vrettas, Dan Cornford, Manfred Opper, Yuan Shen

A principled approach to image denoising with similarity kernels 
involving patches
Arnaud De Decker, John A. Lee, Michel Verleysen

A hidden process regression model for functional data description. 
Application to curve discrimination
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

łukasiewicz fuzzy logic networks and their ultra low power hardware 
implementation
RafaŁ DŁugosz, Witold Pedrycz

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REGULAR PAPERS

Delay-range-dependent robust H∞ control for uncertain systems with 
interval time-varying delays
Huaicheng Yan, Hao Zhang, Max Q.-H. Meng

A danger theory inspired artificial immune algorithm for on-line 
supervised two-class classification problem
Chenggong Zhang, Zhang Yi

Classification of multispectral images in coral environments using a 
hybrid of classifier ensembles
Antônio P.M. Henriques, Adrião D. Dória Neto, Ricardo F. Amaral

Robust exponential stability criterion for uncertain neural networks 
with discontinuous activation functions and time-varying delays
Xiru Wu, Yaonan Wang, Lihong Huang, Yi Zuo

AUC maximization linear classifier based on active learning and its 
application
Guang Han, Chunxia Zhao

State estimation for neural networks with mixed interval time-varying delays
Huiwei Wang, Qiankun Song

Committees of Adaboost ensembles with modified emphasis functions
Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal

Asymptotic tracking control scheme for mechanical systems with external 
disturbances and friction
Lili Cui, Huaguang Zhang, Bing Chen, Qingling Zhang

A heuristically enhanced gradient approximation (HEGA) algorithm for 
training neural networks
Dimokritos Panagiotopoulos, Christos Orovas, Dimitrios Syndoukas

Less conservative results of state estimation for neural networks with 
time-varying delay
Yonggang Chen, Weiping Bi, Wenlin Li, Yuanyuan Wu

Training of neural models for predictive control
Maciej ławryńczuk

Dynamical behaviors of impulsive reaction–diffusion Cohen–Grossberg 
neural network with delays
Jie Pan, Shouming Zhong

Kernel-based metric learning for semi-supervised clustering
Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki

Experimental comparison of recursive self-organizing maps for processing 
tree-structured data
P. Vančo, I. Farkaš

A generalized procedure in designing recurrent neural network 
identification and control of time-varying-delayed nonlinear dynamic systems
Xueli Wu, Jianhua Zhang, Quanmin Zhu

Delay-dependent passivity criterion for discrete-time delayed standard 
neural network model
Jin Zhu, Qingling Zhang, Zhonghu Yuan

Origin and elimination of two global spurious attractors in 
Hopfield-like neural network performing Boolean factor analysis
Alexander A. Frolov, Dusan Husek, Igor P. Muraviev, Pavel Y. Polyakov

Composite function wavelet neural networks with extreme learning machine
Jiuwen Cao, Zhiping Lin, Guang-bin Huang

Relevance vector machine with adaptive wavelet kernels for efficient 
image coding
Arvind Tolambiya, Prem K. Kalra

Efficiently mining local conserved clusters from gene expression data
Guoren Wang, Yuhai Zhao, Xiangguo Zhao, Botao Wang, Baiyou Qiao

A multi-objective memetic and hybrid methodology for optimizing the 
parameters and performance of artificial neural networks
Leandro M. Almeida, Teresa B. Ludermir

Power quality disturbance classification using Hilbert transform and RBF 
networks
T. Jayasree, D. Devaraj, R. Sukanesh

Hybrid sampling on mutual information entropy-based clustering ensembles 
for optimizations
Feng Wang, Cheng Yang, Zhiyi Lin, Yuanxiang Li, Yuan Yuan

A self-organizing neural architecture integrating desire, intention and 
reinforcement learning
Ah-Hwee Tan, Yu-Hong Feng, Yew-Soon Ong

Combine image quality fusion and illumination compensation for 
video-based face recognition
Chao Wang, Yongping Li

A mode-dependent stability criterion for delayed discrete-time 
stochastic neural networks with Markovian jumping parameters
Yan Ou, Peng Shi, Hongyang Liu

Multiclass support vector classification via coding and regression
Pei-Chun Chen, Kuang-Yao Lee, Tsung-Ju Lee, Yuh-Jye Lee, Su-Yun Huang

Unsupervised wavelet-based spike sorting with dynamic codebook searching 
and replenishment
Hsiao-Lung Chan, Tony Wu, Shih-Tseng Lee, Ming-An Lin, Shau-Ming He, 
Pei-Kuang Chao, Yu-Tai Tsai

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BRIEF PAPERS

Less conservative delay-dependent stability criteria for neural networks 
with time-varying delays
Hanyong Shao

Integration of heterogeneous data sources for gene function prediction 
using decision templates and ensembles of learning machines
Matteo Re, Giorgio Valentini

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JOURNAL SITE: http://www.elsevier.com/locate/neucom
SCIENCE DIRECT:
http://www.sciencedirect.com/science/issue/5660-2010-999269992-1783436