kernel-based learning theory
GCS Kernel For SVM-Based Image Recognition
6
Kernel-Based Nonlinear Signal Processing
36
Kernel-Based Methods for Hypothesis Testing: A Unified View
12
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
17
Improved small molecule identification through learning combinations of kernel regression models
3
BCI Signal Classification using a Riemannian-based kernel
7
Kernel-based nonlinear canonical analysis and time reversibility
52
Learning Very Large Configuration Spaces: What Matters for Linux Kernel Sizes
14
Improved Small Molecule Identification through Learning Combinations of Kernel Regression Models
15
Facial Action Recognition Combining Heterogeneous Features via Multi-Kernel Learning
15
A Simple Test of Learning Theory
45
Deep kernel representation learning for complex data and reliability issues
216
The angular kernel in machine learning for hyperspectral data classification
5
Preimage problem in kernel-based machine learning
14
Kernel-based sensitivity indices for high-dimensional optimization problems
151
Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models
27
Kernel Principal Components Analysis with Extreme Learning Machines for Wind Speed Prediction
6
A kernel random matrix-based approach for sparse PCA
17
Learning from ranking data : theory and methods
210
Deep Learning vs. Kernel Methods: Performance for Emotion Prediction in Videos
8