Supervised Learning by Support Vector Machines
From MaRDI portal
Publication:2789826
DOI10.1007/978-1-4939-0790-8_22zbMath1331.68275OpenAlexW1600472624MaRDI QIDQ2789826
Publication date: 2 March 2016
Published in: Handbook of Mathematical Methods in Imaging (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-1-4939-0790-8_22
Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10)
Related Items
Higher Order Difference Operators and Associated Relative Reproducing Kernel Hilbert Spaces ⋮ Harmonic analysis of network systems via kernels and their boundary realizations ⋮ Reproducing kernels and choices of associated feature spaces, in the form of \(L^2\)-spaces
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Interpolation of scattered data: distance matrices and conditionally positive definite functions
- Convex optimization methods for dimension reduction and coefficient estimation in multivariate linear regression
- Consistent nonparametric regression. Discussion
- A distribution-free theory of nonparametric regression
- Feature extraction by shape-adapted local discriminant bases
- Hybrid wavelet-support vector classification of waveforms
- Statistical behavior and consistency of classification methods based on convex risk minimization.
- Support-vector networks
- Regularization networks and support vector machines
- Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization
- Some results on Tchebycheffian spline functions and stochastic processes
- Efficient wavelet adaptation for hybrid wavelet -- large margin classifiers
- On the mathematical foundations of learning
- Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
- Theory of Classification: a Survey of Some Recent Advances
- Support Vector Machines
- A duality theorem for non-linear programming
- Any Discrimination Rule Can Have an Arbitrarily Bad Probability of Error for Finite Sample Size
- Radial Basis Functions
- Improvements to Platt's SMO Algorithm for SVM Classifier Design
- 10.1162/153244303322753751
- Neural Network Learning
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- RKHS approach to detection and estimation problems--I: Deterministic signals in Gaussian noise
- On Learning Vector-Valued Functions
- Convexity, Classification, and Risk Bounds
- Theory of Reproducing Kernels
- Scattered Data Approximation
- The elements of statistical learning. Data mining, inference, and prediction