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ICANN
2005
Springer
14 years 2 months ago
LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator
This paper presents a new method for the selection of the two hyperparameters of Least Squares Support Vector Machine (LS-SVM) approximators with Gaussian Kernels. The two hyperpar...
Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel ...
DCC
2003
IEEE
14 years 1 months ago
Rate-Distortion Bound for Joint Compression and Classification
- Rate-distortion theory is applied to the problem of joint compression and classification. A Lagrangian distortion measure is used to consider both the squared Euclidean error in ...
Yanting Dong, Lawrence Carin
CORR
2011
Springer
206views Education» more  CORR 2011»
13 years 3 months ago
Convergence analysis of a proximal Gauss-Newton method
Abstract An extension of the Gauss-Newton algorithm is proposed to find local minimizers of penalized nonlinear least squares problems, under generalized Lipschitz assumptions. Co...
Saverio Salzo, Silvia Villa
SSPR
1998
Springer
14 years 25 days ago
Modified Minimum Classification Error Learning and Its Application to Neural Networks
A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learn...
Hiroshi Shimodaira, Jun Rokui, Mitsuru Nakai
ICASSP
2011
IEEE
13 years 10 days ago
Recursive estimation of room impulse responses with energy conservation constraints
This paper considers the problem of constrained tracking the timevarying room impulse response of a source/microphone pair. The constraint which is used to improve the performance...
Stefan Uhlich, Bin Yang