Connectionists: Neurocomputing volume 69 (issues 7-9)

[Tom Heskes]

Neurocomputing volume 69 (issues 7-9)

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SPECIAL PAPERS
(New Issues in Neurocomputing
edited by Jochen J. Steil, Gavin C. Cawley and Fabrice Rossi)

New Issues in Neurocomputing (editorial)
Jochen J. Steil, Gavin C. Cawley and Fabrice Rossi

Attractor neural networks with patchy connectivity
Christopher Johansson, Martin Rehn and Anders Lansner

Rapid learning and robust recall of long sequences in modular associator 
networks
Michael Lawrence, Thomas Trappenberg and Alan Fine

Online stability of backpropagation–decorrelation recurrent learning
Jochen J. Steil

Generalized relevance LVQ (GRLVQ) with correlation measures for gene 
expression analysis
Marc Strickert, Udo Seiffert, Nese Sreenivasulu, Winfriede Weschke, 
Thomas Villmann and Barbara Hammer

Learning vector quantization: The dynamics of winner-takes-all algorithms
Michael Biehl, Anarta Ghosh and Barbara Hammer

Efficient estimation of multidimensional regression model using 
multilayer perceptrons
Joseph Rynkiewicz

Boosting by weighting critical and erroneous samples
Vanessa Gómez-Verdejo, Manuel Ortega-Moral, Jerónimo Arenas-García and 
Aníbal R. Figueiras-Vidal

Evolving hybrid ensembles of learning machines for better generalisation
Arjun Chandra and Xin Yao

Applications of multi-objective structure optimization
Alexander Gepperth and Stefan Roth

Kernel methods and the exponential family
Stéphane Canu and Alex Smola

Kernel extrapolation
S.V.N. Vishwanathan, Karsten M. Borgwardt, Omri Guttman and Alex Smola

Support vector machine for functional data classification
Fabrice Rossi and Nathalie Villa

Translation-invariant classification of non-stationary signals
Vincent Guigue, Alain Rakotomamonjy and Stéphane Canu

Robust analysis of MRS brain tumour data using t-GTM
Alfredo Vellido, Paulo J.G. Lisboa and Dolores Vicente

EEG classification using generative independent component analysis
Silvia Chiappa and David Barber

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REGULAR PAPERS

Stochastic model and neural coding of large-scale neuronal population 
with variable coupling strength
Rubin Wang and Xianfa Jiao

Neural network based control strategies for improving plasma 
characteristics in reactive ion etching
N. Tudoroiu, R.V. Patel and K. Khorasani

A global exponential robust stability criterion for interval delayed 
neural networks with variable delays
Chuandong Li, Xiaofeng Liao and Rong Zhang

Cell assemblies for diagnostic problem-solving
Andreas Wichert

Hidden neuron pruning of multilayer perceptrons using a quantified 
sensitivity measure
Xiaoqin Zeng and Daniel S. Yeung

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LETTERS

A reliable method for HIV-1 protease cleavage site prediction
Loris Nanni and Alessandra Lumini

An ensemble of classifiers for the diagnosis of erythemato-squamous diseases
Loris Nanni

A novel method for fingerprint verification that approaches the problem 
as a two-class pattern recognition problem
Loris Nanni and Alessandra Lumini

Ensemble of classifiers for protein fold recognition
Loris Nanni

Advanced methods for two-class problem formulation for on-line signature 
verification
Loris Nanni and Alessandra Lumini

Human authentication featuring signatures and tokenised random numbers 
Loris Nanni and Alessandra Lumini

A reliable method for the diagnosis of gastric carcinoma
Loris Nanni

Machine learning algorithms for T-cell epitopes prediction  • SHORT 
Loris Nanni

Experimental comparison of one-class classifiers for online signature 
verification
Loris Nanni

Noise removal using a novel non-negative sparse coding shrinkage technique
Li Shang, De-Shuang Huang, Chun-Hou Zheng and Zhan-Li Sun

Nonnegative independent component analysis based on minimizing mutual 
information technique
Chun-Hou Zheng, De-Shuang Huang, Zhan-Li Sun, Michael R. Lyu and 
Tat-Ming Lok

Optimal selection of time lags for TDSEP based on genetic algorithm
Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng and Li Shang

Robust extraction of specific signals with temporal structure
Zhi-Lin Zhang and Zhang Yi

Extraction of temporally correlated sources with its application to 
non-invasive fetal electrocardiogram extraction
Zhi-Lin Zhang and Zhang Yi

Extraction of a source signal whose kurtosis value lies in a specific range
Zhi-Lin Zhang and Zhang Yi

Enhancing decision-based neural networks through local competition
Gustavo Camps-Valls, Luis Gómez-Chova, Joan Vila-Francés, José D. 
Martín-Guerrero, Antonio J. Serrano-López and Emilio Soria-Olivas

Efficient pruning of multilayer perceptrons using a fuzzy sigmoid 
activation function
E. Soria-Olivas, J.D. Martín-Guerrero, A.J. Serrano-López, J. 
Calpe-Maravilla, J. Vila-Francés and G. Camps-Valls

An efficient simulated annealing algorithm for the minimum vertex cover 
problem
Xinshun Xu and Jun Ma

Gaussian moments for noisy complexity pursuit
Zhenwei Shi and Changshui Zhang

An LVQ-based adaptive algorithm for learning from very small codebooks 
J.S. Sánchez and A.I. Marqués

Robust kernel discriminant analysis and its application to feature 
extraction and recognition
Zhizheng Liang, David Zhang and Pengfei Shi

(2D)2 FLD: An efficient approach for appearance based object recognition 
  P. Nagabhushan, D.S. Guru and B.H. Shekar

On stability of disturbed Hopfield neural networks with time delays  • 
Yiguang Liu, Zhisheng You and Liping Cao

A new nonlinear feature extraction method for face recognition
Yanwei Pang, Zhengkai Liu and Nenghai Yu

Ratio rule and homomorphic filter for enhancement of digital colour image
Ming-Jung Seow and Vijayan K. Asari

Exponential stability of a class of generalized neural networks with 
time-varying delays
Anhua Wan, Jigen Peng and Miansen Wang

A fast NPCA algorithm for online blind source separation
Xiaolong Zhu, Xianda Zhang and Yongtao Su

A neuro-fuzzy approach for diagnosis of antibody deficiency syndrome
Joon Shik Lim, Dianhui Wang, Yong-Soo Kim and Sudhir Gupta

Solving alignment problems in neural spike sorting using frequency 
domain PCA
Hae Kyung Jung, Joon Hwan Choi and Taejeong Kim