Connectionists: Neurocomputing volume 74 (issue 16)

[Tom Heskes]

Neurocomputing volume 74 (issue 16)
http://www.sciencedirect.com/science/issue/5660-2011-999259983-3460839

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SPECIAL PAPERS
(Advances in ELM)

Advances in extreme learning machines (ELM2010, editorial)
Guang-Bin Huang, Dianhui Wang

TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization
Yoan Miche, Mark van Heeswijk, Patrick Bas, Olli Simula, Amaury Lendasse

Fast automatic two-stage nonlinear model identification based on the 
extreme learning machine
Jing Deng, Kang Li, George W. Irwin

GPU-accelerated and parallelized ELM ensembles for large-scale regression
Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse

An OS-ELM based distributed ensemble classification framework in P2P 
networks
Yongjiao Sun, Ye Yuan, Guoren Wang

XML document classification based on ELM
Xiang-guo Zhao, Guoren Wang, Xin Bi, Peizhen Gong, Yuhai Zhao

Combining local face image features for identity verification
Beom-Seok Oh, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim

Image deblurring with filters learned by extreme learning machine
Liang Wang, Yaping Huang, Xiaoyue Luo, Zhe Wang, Siwei Luo

Optimization approximation solution for regression problem based on 
extreme learning machine
Yubo Yuan, Yuguang Wang, Feilong Cao

A study on effectiveness of extreme learning machine
Yuguang Wang, Feilong Cao, Yubo Yuan

A new robust training algorithm for a class of single-hidden layer 
feedforward neural networks
Zhihong Man, Kevin Lee, Dianhui Wang, Zhenwei Cao, Chunyan Miao

MELM-GRBF: A modified version of the extreme learning machine for 
generalized radial basis function neural networks
Francisco Fernández-Navarro, César Hervás-Martínez, Javier 
Sanchez-Monedero, Pedro Antonio Gutiérrez

Application of error minimized extreme learning machine for simultaneous 
learning of a function and its derivatives
S. Balasundaram, Kapil

Upper integral network with extreme learning mechanism
Xizhao Wang, Aixia Chen, Huimin Feng

Parameter-insensitive kernel in extreme learning for non-linear support 
vector regression
Benoît Frénay, Michel Verleysen

A parallel incremental extreme SVM classifier
Qing He, Changying Du, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi

Face recognition based on extreme learning machine
Weiwei Zong, Guang-Bin Huang

Testing correct model specification using extreme learning machines
Jin Seo Cho, Halbert White

SELM: Semi-supervised ELM with application in sparse calibrated location 
estimation
Junfa Liu, Yiqiang Chen, Mingjie Liu, Zhongtang Zhao

Predicting the probability of ice storm damages to electricity 
transmission facilities based on ELM and Copula function
Hongming Yang, Wenjun Xu, Junhua Zhao, Dianhui Wang, Zhaoyang Dong

Stable indirect adaptive neural controller for a class of nonlinear system
Hai-Jun Rong, S. Suresh, Guang-She Zhao

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SPECIAL PAPERS
(IWANN 2009)

Bio-inspired systems: Computational and ambient intelligence (editorial)
Francisco Sandoval, Joan Cabestany, Alberto Prieto

Global and local modelling in RBF networks
L.J. Herrera, H. Pomares, I. Rojas, A. Guillén, G. Rubio, J. Urquiza

Learning to collaborate in distributed environments by means of an 
awareness-based artificial neural network
Mauricio Paletta, Pilar Herrero

Class and subclass probability re-estimation to adapt a classifier in 
the presence of concept drift
Rocío Alaiz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro

A combined measure for quantifying and qualifying the topology 
preservation of growing self-organizing maps
Soledad Delgado, Consuelo Gonzalo, Estibaliz Martinez, Agueda Arquero

Dynamic topology learning with the probabilistic self-organizing graph
Ezequiel López-Rubio, Esteban José Palomo-Ferrer, Juan Miguel 
Ortiz-de-Lazcano-Lobato, María Carmen Vargas-González

Cycle-breaking acceleration for support vector regression
Álvaro Barbero, José R. Dorronsoro

The effect of low number of points in clustering validation via the 
negentropy increment
Luis F. Lago-Fernández, Manuel Sánchez-Montañés, Fernando Corbacho

Analyzing human gait and posture by combining feature selection and 
kernel methods
Albert Samà, Cecilio Angulo, Diego Pardo, Andreu Català, Joan Cabestany

PITAGORAS-PSP: Including domain knowledge in a multi-objective approach 
for protein structure prediction
J.C. Calvo, J. Ortega, M. Anguita

Method for prediction of protein–protein interactions in yeast using 
genomics/proteomics information and feature selection
J.M. Urquiza, I. Rojas, H. Pomares, L.J. Herrera, J. Ortega, A. Prieto

Hopfield networks for identification of delay differential equations 
with an application to dengue fever epidemics in Cuba
Esther García-Garaluz, Miguel Atencia, Gonzalo Joya, Francisco 
García-Lagos, Francisco Sandoval

An artificial negotiating agent modeling approach embedding dynamic 
offer generating and cognitive layer
Arash Bahrammirzaee, Amine Chohra, Kurosh Madani

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JOURNAL SITE: http://www.elsevier.com/locate/neucom