Connectionists: Neurocomputing volume 70 (issues 7-9)

[Tom Heskes]

Neurocomputing volume 70 (issues 7-9)
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SPECIAL PAPERS
(European Symposium on Artificial Neural Networks 2006
edited by Michael Biehl, Erzsébet Merényi and Fabrice Rossi)

Advances in computational intelligence and learning (editorial)
Michael Biehl, Erzsébet Merényi and Fabrice Rossi

Displaced strategies optimize connectivity in neocortical networks
Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana D. de Lima and Thomas 
Voigt

Learning sensory representations with intrinsic plasticity
Nicholas J. Butko and Jochen Triesch

Super-lampreys and wave energy: Optimised control of 
artificially-evolved, simulated swimming lamprey
Leena N. Patel, Alan Murray and John Hallam

Immune network based ensembles
Nicolás García-Pedrajas and Colin Fyfe

Nonlinear transient computation
Nigel Crook

Dynamical computation reservoir emerging within a biological model network
Carlos Lourenço

Massively distributed digital implementation of an integrate-and-fire 
LEGION network for visual scene segmentation
Bernard Girau and Cesar Torres-Huitzil

Adaptive sensor modelling and classification using a continuous 
restricted Boltzmann machine (CRBM)
Tong Boon Tang and Alan F. Murray

Minimum range approach to blind partial simultaneous separation of 
bounded sources: Contrast and discriminacy properties
Frédéric Vrins and Dinh-Tuan Pham

Margin-based active learning for LVQ networks
F.-M. Schleif, B. Hammer and T. Villmann

Magnification control for batch neural gas
Barbara Hammer, Alexander Hasenfuss and Thomas Villmann

Adaptive scene dependent filters for segmentation and online learning of 
visual objects
J.J. Steil, M. Götting, H. Wersing, E. Körner and H. Ritter

Linking non-binned spike train kernels to several existing spike train 
metrics
Benjamin Schrauwen and Jan Van Campenhout

Synthesis of maximum margin and multiview learning using unlabeled data
Sandor Szedmak and John Shawe-Taylor

High-dimensional delay selection for regression models with mutual 
information and distance-to-diagonal criteria
Geoffroy Simon and Michel Verleysen

Resampling methods for parameter-free and robust feature selection with 
mutual information
D. François, F. Rossi, V. Wertz and M. Verleysen

Variants of unsupervised kernel regression: General cost functions
Stefan Klanke and Helge Ritter

Visualizing distortions and recovering topology in continuous projection 
techniques
Michaël Aupetit

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REGULAR PAPERS

RLDDE: A novel reinforcement learning-based dimension and delay 
estimator for neural networks in time series prediction
F. Liu, G.S. Ng and C. Quek

Improving generalization of MLPs with sliding mode control and the 
Levenberg–Marquardt algorithm
Marcelo Azevedo Costa, Antônio de Pádua Braga and Benjamin Rodrigues de 
Menezes

Applying the improved fuzzy cellular neural network IFCNN to white blood 
cell detection
Wang Shitong, Korris F.L. Chung and Fu Duan

A novel approach for estimation of optimal embedding parameters of 
nonlinear time series by structural learning of neural network
Yusuke Manabe and Basabi Chakraborty

Learning principal directions: Integrated-squared-error minimization
Jong-Hoon Ahn, Jong-Hoon Oh and Seungjin Choi

An analysis of global exponential stability of bidirectional associative 
memory neural networks with constant time delays
Weirui Zhao, HuanShui Zhang and Shulan Kong

A biophysical neural accumulator model of decision making in an 
antisaccade task
Vassilis Cutsuridis, Ioannis Kahramanoglou, Nikolaos Smyrnis, Ioannis 
Evdokimidis and Stavros Perantonis

Genetic tolerance fuzzy neural networks: From data to fuzzy hyperboxes
Witold Pedrycz

Modelling the Stroop effect: A connectionist approach
G. Büyükaksoy Kaplan, N.S. S,engör, H. Gürvit and C. Güzelis,

Generalized locally recurrent probabilistic neural networks with 
application to text-independent speaker verification
Todor D. Ganchev, Dimitris K. Tasoulis, Michael N. Vrahatis and Nikos D. 
Fakotakis

Functions bandlimited in frequency are free of the curse of dimensionality
Juan Ignacio Mulero-Martínez

Bandwidth of mechanical systems and design of emulators with RBF
Juan Ignacio Mulero-Martínez

One-class document classification via Neural Networks
Larry Manevitz and Malik Yousef

Long-term neuronal behavior caused by two synaptic modification mechanisms
Xi Shen and Philippe De Wilde

Analysis of SVM regression bounds for variable ranking
A. Rakotomamonjy

A relative trust-region algorithm for independent component analysis
Heeyoul Choi and Seungjin Choi

Analysis of pattern classification for the multidimensional 
parity-bit-checking problem with hybrid evolutionary feed-forward neural 
network
Manish Mangal and Manu Pratap Singh

A locally recurrent fuzzy neural network with application to the wind 
speed prediction using spatial correlation
T.G. Barbounis and J.B. Theocharis

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BRIEF PAPERS

Face recognition based on orthogonal discriminant locality preserving 
projections
Lei Zhu and Shanan Zhu

Linear local tangent space alignment and application to face recognition
Tianhao Zhang, Jie Yang, Deli Zhao and Xinliang Ge

A fast approximate algorithm for training L1-SVMs in primal space
Lei Wang, Shixin Sun and Kai Zhang

A hierarchical intrusion detection model based on the PCA neural networks
Guisong Liu, Zhang Yi and Shangming Yang

Neurally plausible, non-combinatorial iterative independent process analysis
András Lo"rincz and Zoltán Szabó

Semi-blind source extraction for fetal electrocardiogram extraction by 
combining non-Gaussianity and time-correlation
Zhenwei Shi and Changshui Zhang

Face and palmprint feature level fusion for single sample biometrics 
recognition
Yong-Fang Yao, Xiao-Yuan Jing and Hau-San Wong

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