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Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling.

G. Rubio, L. Herrera, H. Pomares, I. Rojas, и A. Guillén. Neurocomputing, 73 (10-12): 1965-1975 (2010)

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Alberto Gineste Llombart

Ignacio Rubio

Felipe Rubio

Jordi Rubió i Coromina Universitat de Barcelona

Mónica Rubiolo González

Другие публикации лиц с тем же именем

Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection.J. Ortiz, I. Ruiz, H. Pomares, L. Herrera, G. Rubio, и J. Florido. ISCIS, стр. 645-650. IEEE, (2009)Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection.J. Urquiza, I. Rojas, H. Pomares, J. Florido, G. Rubio, L. Herrera, J. Calvo, и J. Lopera. IWANN (1), том 5517 из Lecture Notes in Computer Science, стр. 853-860. Springer, (2009)Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab.G. Rubio, A. Guillén, H. Pomares, I. Rojas, B. Paechter, P. Glösekötter, и C. Torres-Ceballos. HPCS, стр. 145-152. IEEE, (2009)A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Interpolation.G. Rubio, и H. Pomares. IWANN, том 3512 из Lecture Notes in Computer Science, стр. 34-41. Springer, (2005)Kernel Methods Applied to Time Series Forecasting.G. Rubio, H. Pomares, L. Herrera, и I. Rojas. IWANN, том 4507 из Lecture Notes in Computer Science, стр. 782-789. Springer, (2007)Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling.G. Rubio, L. Herrera, H. Pomares, I. Rojas, и A. Guillén. Neurocomputing, 73 (10-12): 1965-1975 (2010)Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error.G. Rubio, H. Pomares, I. Rojas, L. Herrera, и A. Guillén. ICANN (2), том 5769 из Lecture Notes in Computer Science, стр. 406-415. Springer, (2009)Applying Mutual Information for Prototype or Instance Selection in Regression Problems.A. Guillén, L. Herrera, G. Rubio, H. Pomares, A. Lendasse, и I. Rojas. ESANN, (2009)Global and Local Modelling in Radial Basis Functions Networks.L. Herrera, H. Pomares, I. Rojas, A. Guillén, G. Rubio, и J. Urquiza. IWANN (1), том 5517 из Lecture Notes in Computer Science, стр. 49-56. Springer, (2009)Creation of Specific-to-Problem Kernel Functions for Function Approximation.G. Rubio, H. Pomares, I. Rojas, и A. Guillén. IWANN (1), том 5517 из Lecture Notes in Computer Science, стр. 335-342. Springer, (2009)