Quantum clustering-based weighted linear programming support vector regression for multivariable nonlinear problem
暂无分享,去创建一个
[1] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[2] Assaf Gottlieb,et al. Algorithm for data clustering in pattern recognition problems based on quantum mechanics. , 2001, Physical review letters.
[3] Johan A. K. Suykens,et al. A support vector machine formulation to PCA analysis and its kernel version , 2003, IEEE Trans. Neural Networks.
[4] Gilles Brassard,et al. Quantum clustering algorithms , 2007, ICML '07.
[5] Alexander J. Smola,et al. Support Vector Method for Function Approximation, Regression Estimation and Signal Processing , 1996, NIPS.
[6] Alexander J. Smola,et al. Support Vector Regression Machines , 1996, NIPS.
[7] Lijuan Cao,et al. A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine , 2003, Neurocomputing.
[8] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[9] Li Zhang,et al. Linear programming support vector machines , 2002, Pattern Recognit..
[10] A. Asuncion,et al. UCI Machine Learning Repository, University of California, Irvine, School of Information and Computer Sciences , 2007 .
[11] Alexander J. Smola,et al. Learning with kernels , 1998 .
[12] Noboru Murata,et al. Support Vector Machines for Linear Programming: Motivation and Formulations , 1999 .
[13] I K Fodor,et al. A Survey of Dimension Reduction Techniques , 2002 .
[14] Wenming Zheng,et al. An Improved Algorithm for Kernel Principal Component Analysis , 2005, Neural Processing Letters.
[15] Erkki Oja,et al. Independent component analysis: algorithms and applications , 2000, Neural Networks.
[16] Bernhard Schölkopf,et al. Kernel Principal Component Analysis , 1997, ICANN.
[17] Dan A. Simovici,et al. On feature selection through clustering , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[18] David Horn,et al. The Method of Quantum Clustering , 2001, NIPS.
[19] David R. Musicant,et al. Large Scale Kernel Regression via Linear Programming , 2002, Machine Learning.
[20] B. Schölkopf,et al. Linear programs for automatic accuracy control in regression. , 1999 .
[21] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[22] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[23] Beatrice Lazzerini,et al. A new fuzzy relational clustering algorithm based on the fuzzy C-means algorithm , 2005, Soft Comput..
[24] Carla E. Brodley,et al. Feature Selection for Unsupervised Learning , 2004, J. Mach. Learn. Res..
[25] Chih-Jen Lin,et al. Combining SVMs with Various Feature Selection Strategies , 2006, Feature Extraction.
[26] Johan A. K. Suykens,et al. Weighted least squares support vector machines: robustness and sparse approximation , 2002, Neurocomputing.
[27] Sushant Sachdeva,et al. Dimension Reduction , 2008, Encyclopedia of GIS.
[28] I. Jolliffe. Principal Component Analysis , 2002 .
[29] Bernhard Schölkopf,et al. Shrinking the Tube: A New Support Vector Regression Algorithm , 1998, NIPS.