Pages that link to "Item:Q1015178"
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The following pages link to Gaussian kernel optimization for pattern classification (Q1015178):
Displaying 13 items.
- Learning with infinitely many features (Q374174) (← links)
- Kernel self-optimization learning for kernel-based feature extraction and recognition (Q498017) (← links)
- Kernel-based hard clustering methods in the feature space with automatic variable weighting (Q736304) (← links)
- Optimizing the Gaussian kernel function with the formulated kernel target alignment criterion for two-class pattern classification (Q743253) (← links)
- Fast Gaussian kernel learning for classification tasks based on specially structured global optimization (Q889286) (← links)
- A new robust model of one-class classification by interval-valued training data using the triangular kernel (Q1669149) (← links)
- Tuning of the hyperparameters for \(L2\)-loss SVMs with the RBF kernel by the maximum-margin principle and the jackknife technique (Q1669630) (← links)
- An efficient Gaussian kernel optimization based on centered kernel polarization criterion (Q1750031) (← links)
- Gaussian bandwidth selection for manifold learning and classification (Q2212526) (← links)
- A kernel optimization method based on the localized kernel Fisher criterion (Q2462603) (← links)
- Constructing a speculative kernel machine for pattern classification (Q2488681) (← links)
- Optimization of the Anisotropic Gaussian Kernel for Text Segmentation and Parameter Extraction (Q3163879) (← links)
- Gradient-Based Adaptation of General Gaussian Kernels (Q5703540) (← links)
