Volume 55,
Numbers 1-2,
September 2003
Support Vector Machines
- Colin Campbell, Chih-Jen Lin, S. Sathiya Keerthi, V. David Sánchez A.:
Special issue on support vector machines.
1-3
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- V. David Sánchez A.:
Advanced support vector machines and kernel methods.
5-20
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- G. Baudat, Fatiha Anouar:
Feature vector selection and projection using kernels.
21-38
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- Glenn Fung, Olvi L. Mangasarian:
Finite Newton method for Lagrangian support vector machine classification.
39-55
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- Cecilio Angulo, Xavier Parra, Andreu Català:
K-SVCR. A support vector machine for multi-class classification.
57-77
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- Jinbo Bi, Kristin P. Bennett:
A geometric approach to support vector regression.
79-108
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- Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino:
Hyperparameter design criteria for support vector classifiers.
109-134
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- E. Parrado-Hernández, Jerónimo Arenas-García, I. Mora-Jiménez, Angel Navia-Vázquez:
On problem-oriented kernel refining.
135-150
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- J. B. Gao, Steve R. Gunn, Chris J. Harris:
SVM regression through variational methods and its sequential implementation.
151-167
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- David Meyer, Friedrich Leisch, Kurt Hornik:
The support vector machine under test.
169-186
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- Christopher J. C. Burges, David J. Crisp:
Uniqueness theorems for kernel methods.
187-220
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- Carl Gold, Peter Sollich:
Model selection for support vector machine classification.
221-249
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- D. O. Whiteson, N. A. Naumann:
Support vector regression as a signal discriminator in high energy physics.
251-264
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- Davide Anguita, Andrea Boni:
Neural network learning for analog VLSI implementations of support vector machines: a survey.
265-283
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- Valeriy V. Gavrishchaka, Supriya B. Ganguli:
Volatility forecasting from multiscale and high-dimensional market data.
285-305
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- Kyoung-jae Kim:
Financial time series forecasting using support vector machines.
307-319
Electronic Edition (link) BibTeX
- L. J. Cao, K. S. Chua, W. K. Chong, H. P. Lee, Q. M. Gu:
A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine.
321-336
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- Ulf Norinder:
Support vector machine models in drug design: applications to drug transport processes and QSAR using simplex optimisations and variable selection.
337-346
Electronic Edition (link) BibTeX
- Christian Igel, Martin Kreutz:
Operator adaptation in evolutionary computation and its application to structure optimization of neural networks.
347-361
Electronic Edition (link) BibTeX
- Abir Jaafar Hussain, Panos Liatsis:
Recurrent pi-sigma networks for DPCM image coding.
363-382
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- Witold Pedrycz, Myung-Geun Chun, Giancarlo Succi:
N4: computing with neural receptive fields.
383-401
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- Jonghan Shin:
Erratum to "Towards computational and robotic modelling of animal cognition and behavior": [Neurocomputing 44-46 (2002) 985-992].
403
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- 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
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Volume 55,
Numbers 3-4,
October 2003
Evolving Solution with Neural Networks
- Alessandra Fanni, Aurelio Uncini:
Special issue on evolving solution with neural networks.
417-419
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- Roberto Baratti, Barbara Cannas, Alessandra Fanni, M. Pintus, Giovanni M. Sechi, N. Toreno:
River flow forecast for reservoir management through neural networks.
421-437
Electronic Edition (link) BibTeX
- Bunchingiv Bazartseren, Gerald Hildebrandt, K.-P. Holz:
Short-term water level prediction using neural networks and neuro-fuzzy approach.
439-450
Electronic Edition (link) BibTeX
- Luciano Albini, Pietro Burrascano, Simone Fiori:
A feasibility study for electromagnetic pollution monitoring by electromagnetic-source localization via neural independent component analysis.
451-468
Electronic Edition (link) BibTeX
- Damien Fay, John V. Ringwood, Marissa Condon, Michael Kelly:
24-h electrical load data - a sequential or partitioned time series?
469-498
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- Uwe Gerecke, Noel E. Sharkey, Amanda J. C. Sharkey:
Common evidence vectors for self-organized ensemble localization.
499-519
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- Massimo Panella, Antonello Rizzi, Giuseppe Martinelli:
Refining accuracy of environmental data prediction by MoG neural networks.
521-549
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- A. E. Ruano, Peter J. Fleming, C. Teixeira, Katya Rodríguez-Vázquez, Carlos M. Fonseca:
Nonlinear identification of aircraft gas-turbine dynamics.
551-579
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- Stefania Tronci, Massimiliano Giona, Roberto Baratti:
Reconstruction of chaotic time series by neural models: a case study.
581-591
Electronic Edition (link) BibTeX
- Aurelio Uncini:
Audio signal processing by neural networks.
593-625
Electronic Edition (link) BibTeX
- Pau Bofill:
Underdetermined blind separation of delayed sound sources in the frequency domain.
627-641
Electronic Edition (link) BibTeX
- Wenjian Wang, ZongBen Xu, Weizhen Lu, Xiaoyun Zhang:
Determination of the spread parameter in the Gaussian kernel for classification and regression.
643-663
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- Maite Teresa Martín-Valdivia, Manuel García Vega, Luis Alfonso Ureña López:
LVQ for text categorization using a multilingual linguistic resource.
665-679
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- Kuo-Lung Wu, Miin-Shen Yang:
A fuzzy-soft learning vector quantization.
681-697
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- Mauri Kaipainen, Tommi Ilmonen:
Period detection and representation by recurrent oscillatory self-organizing map.
699-710
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- S. Gunasekaran, B. Venkatesh, B. S. D. Sagar:
Convergence index for BPN training.
711-719
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- Francesco Masulli, Stefano Rovetta:
Random Voronoi ensembles for gene selection.
721-726
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- Raja S. Toqeer, N. Suha Bayindir:
Speed estimation of an induction motor using Elman neural network.
727-730
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- Chunguang Li, Xiaofeng Liao, Juebang Yu:
Generating chaos by Oja's rule.
731-738
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- Zhiyong Liu, Lei Xu:
Topological local principal component analysis.
739-745
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- Teo Jasic, Douglas Wood:
Neural network protocols and model performance.
747-753
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- 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
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- Qingfu Zhang:
On the discrete-time dynamics of a PCA learning algorithm.
761-769
Electronic Edition (link) BibTeX
- Walmir M. Caminhas, Douglas A. G. Vieira, João A. Vasconcelos:
Parallel layer perceptron.
771-778
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- Alan Rogers, John Keating, Robert Shorten:
A novel pattern classification scheme using the Baker's map.
779-786
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Copyright © Tue Nov 18 20:39:25 2008
by Michael Ley (ley@uni-trier.de)
