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103
Voted
IJON
2010
159views more  IJON 2010»
14 years 7 months ago
Model predictive flight control using adaptive support vector regression
This paper explores an application of support vector regression (SVR) to model predictive control (MPC). SVR is employed to identify a dynamic system from input-output data, and t...
Jongho Shin, H. Jin Kim, Sewook Park, Youdan Kim
106
Voted
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
15 years 6 months ago
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression
We present two new support vector approaches for ordinal regression. These approaches find the concentric spheres with minimum volume that contain most of the training samples. B...
Shirish Krishnaj Shevade, Wei Chu
NECO
2007
95views more  NECO 2007»
14 years 12 months ago
Support Vector Ordinal Regression
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal...
Wei Chu, S. Sathiya Keerthi
115
Voted
GRC
2008
IEEE
15 years 1 months ago
Adaptive and Iterative Least Squares Support Vector Regression based on Quadratic Renyi Entropy
An adaptive and iterative LSSVR algorithm based on quadratic Renyi entropy is presented in this paper. LS-SVM loses the sparseness of support vector which is one of the important ...
Jingqing Jiang, Chuyi Song, Haiyan Zhao, Chunguo W...
ICPR
2008
IEEE
15 years 7 months ago
Estimating the readability of handwritten text - a Support Vector Regression based approach
This paper presents a new approach to estimating the readability of handwritten text. The estimation task is posed as a regression problem. A novel Support Vector Regression (SVR)...
Andreas Schlapbach, Frank Wettstein, Horst Bunke