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ORCIDNeurocomputing, Volume 55
Volume 55, Numbers 1-2, September 2003
- Colin Campbell, Chih-Jen Lin
, S. Sathiya Keerthi, V. David Sánchez A.:
Special issue on support vector machines. 1-3 - V. David Sánchez A.:
Advanced support vector machines and kernel methods. 5-20 - G. Baudat, Fatiha Anouar:
Feature vector selection and projection using kernels. 21-38 - Glenn Fung, Olvi L. Mangasarian:
Finite Newton method for Lagrangian support vector machine classification. 39-55 - Cecilio Angulo, Xavier Parra, Andreu Català:
K-SVCR. A support vector machine for multi-class classification. 57-77 - Jinbo Bi, Kristin P. Bennett:
A geometric approach to support vector regression. 79-108 - Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino:
Hyperparameter design criteria for support vector classifiers. 109-134 - Emilio Parrado-Hernández, Jerónimo Arenas-García, I. Mora-Jiménez, Ángel Navia-Vázquez:
On problem-oriented kernel refining. 135-150 - Junbin Gao, Steve R. Gunn, Chris J. Harris:
SVM regression through variational methods and its sequential implementation. 151-167 - David Meyer, Friedrich Leisch, Kurt Hornik:
The support vector machine under test. 169-186 - Christopher J. C. Burges, David J. Crisp:
Uniqueness theorems for kernel methods. 187-220 - Carl Gold, Peter Sollich:
Model selection for support vector machine classification. 221-249 - Daniel O. Whiteson, N. Axel Naumann:
Support vector regression as a signal discriminator in high energy physics. 251-264 - Davide Anguita, Andrea Boni:
Neural network learning for analog VLSI implementations of support vector machines: a survey. 265-283 - Valeriy V. Gavrishchaka, Supriya B. Ganguli:
Volatility forecasting from multiscale and high-dimensional market data. 285-305 - Kyoung-Jae Kim:
Financial time series forecasting using support vector machines. 307-319 - Lijuan Cao, Kok Seng Chua, Wai Keong Chong, Heow Pueh Lee, Q. M. Gu:
A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine. 321-336 - Ulf Norinder:
Support vector machine models in drug design: applications to drug transport processes and QSAR using simplex optimisations and variable selection. 337-346 - Christian Igel, Martin Kreutz:
Operator adaptation in evolutionary computation and its application to structure optimization of neural networks. 347-361 - Abir Jaafar Hussain, Panos Liatsis:
Recurrent pi-sigma networks for DPCM image coding. 363-382 - Witold Pedrycz, Myung-Geun Chun, Giancarlo Succi:
N4: computing with neural receptive fields. 383-401 - Jonghan Shin:
Erratum to "Towards computational and robotic modelling of animal cognition and behavior": [Neurocomputing 44-46 (2002) 985-992]. 403 - Lei Xu:
Corrigendum to "BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units" [Neurocomputing 51 (2003) 277-301]. 405-406
Volume 55, Numbers 3-4, October 2003
- Alessandra Fanni, Aurelio Uncini:
Special issue on evolving solution with neural networks. 417-419 - Roberto Baratti, Barbara Cannas, Alessandra Fanni, M. Pintus, Giovanni M. Sechi, N. Toreno:
River flow forecast for reservoir management through neural networks. 421-437 - Bunchingiv Bazartseren, Gerald Hildebrandt, K.-Peter Holz:
Short-term water level prediction using neural networks and neuro-fuzzy approach. 439-450 - Luciano Albini, Pietro Burrascano, Simone G. O. Fiori:
A feasibility study for electromagnetic pollution monitoring by electromagnetic-source localization via neural independent component analysis. 451-468 - Damien Fay, John V. Ringwood, Marissa Condon, Michael Kelly:
24-h electrical load data - a sequential or partitioned time series? 469-498 - Uwe Gerecke, Noel E. Sharkey, Amanda J. C. Sharkey:
Common evidence vectors for self-organized ensemble localization. 499-519 - Massimo Panella, Antonello Rizzi, Giuseppe Martinelli:
Refining accuracy of environmental data prediction by MoG neural networks. 521-549 - António E. B. Ruano, Peter J. Fleming, César Alexandre Teixeira, Katya Rodríguez-Vázquez, Carlos M. Fonseca:
Nonlinear identification of aircraft gas-turbine dynamics. 551-579 - Stefania Tronci, Massimiliano Giona, Roberto Baratti:
Reconstruction of chaotic time series by neural models: a case study. 581-591 - Aurelio Uncini:
Audio signal processing by neural networks. 593-625 - Pau Bofill:
Underdetermined blind separation of delayed sound sources in the frequency domain. 627-641 - Wenjian Wang, Zongben Xu, Weizhen Lu, Xiaoyun Zhang:
Determination of the spread parameter in the Gaussian kernel for classification and regression. 643-663 - María Teresa Martín-Valdivia, Manuel García Vega, Luis Alfonso Ureña López:
LVQ for text categorization using a multilingual linguistic resource. 665-679 - Kuo-Lung Wu, Miin-Shen Yang:
A fuzzy-soft learning vector quantization. 681-697 - Mauri Kaipainen, Tommi Ilmonen:
Period detection and representation by recurrent oscillatory self-organizing map. 699-710 - S. Gunasekaran, B. Venkatesh, B. S. Daya Sagar:
Convergence index for BPN training. 711-719 - Francesco Masulli, Stefano Rovetta:
Random Voronoi ensembles for gene selection. 721-726 - Raja S. Toqeer, N. Suha Bayindir:
Speed estimation of an induction motor using Elman neural network. 727-730 - Chunguang Li, Xiaofeng Liao, Juebang Yu:
Generating chaos by Oja's rule. 731-738 - Zhiyong Liu, Lei Xu:
Topological local principal component analysis. 739-745 - Teo Jasic, Douglas Wood:
Neural network protocols and model performance. 747-753 - Hyung-Min Park, Sang-Hoon Oh, Soo-Young Lee:
A filter bank approach to independent component analysis and its application to adaptive noise cancelling. 755-759 - Qingfu Zhang:
On the discrete-time dynamics of a PCA learning algorithm. 761-769 - Walmir M. Caminhas, Douglas A. G. Vieira, João A. Vasconcelos:
Parallel layer perceptron. 771-778 - Alan Rogers, John G. Keating, Robert Shorten:
A novel pattern classification scheme using the Baker's map. 779-786
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