Keywords
Affiliated Institutions
Related Publications
RKHS approach to detection and estimation problems--I: Deterministic signals in Gaussian noise
First it is shown how the Karhunen-Loève approach to the detection of a deterministic signal can be given a coordinate-free and geometric interpretation in a particular Hilbert ...
Input space versus feature space in kernel-based methods
This paper collects some ideas targeted at advancing our understanding of the feature spaces associated with support vector (SV) kernel functions. We first discuss the geometry ...
The Computation of Generalized Cross-Validation Functions Through Householder Tridiagonalization with Applications to the Fitting of Interaction Spline Models
An efficient algorithm for computing the GCV (generalized cross-validation) function for the general cross-validated regularization/smoothing problem is provided. This algorithm...
A NEW VIEW OF NONLINEAR WATER WAVES: The Hilbert Spectrum
▪ Abstract We survey the newly developed Hilbert spectral analysis method and its applications to Stokes waves, nonlinear wave evolution processes, the spectral form of the rand...
Quantum Machine Learning in Feature Hilbert Spaces
A basic idea of quantum computing is surprisingly similar to that of kernel methods in machine learning, namely, to efficiently perform computations in an intractably large Hilb...
Publication Info
- Year
- 1962
- Type
- article
- Volume
- 48
- Issue
- 2
- Pages
- 199-204
- Citations
- 170
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1073/pnas.48.2.199