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2010, Adaptive and learning systems for signal processing, communication, and control, ISBN 9780470447536, xxi, 209
Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for... 
Waves & Wave Mechanics | Science | Kernel functions | Adaptive filters
Book
Foundations and trends in machine learning, ISSN 1935-8237, 2011, Volume 4, Issue 3, pp. 195 - 266
... of reproducing kernel Hilbert spaces. From a probabilistic perspective they are the key in the context of Gaussian processes, where the kernel function is known as the covariance function... 
Learning | Kernels | Kernel functions | Probability theory | Machine learning | Gaussian | Probabilistic methods | Regularization
Journal Article
1991, 1, Studies in advanced mathematics., ISBN 084937152X, Volume 1, xvii, 364
... developments in the field. The first half of the book covers the basic definitions and background material concerning CR manifolds, CR functions, the tangential Cauchy-Riemann Complex and the Levi form... 
CR submanifolds | Cauchy-Riemann equations | Mathematical Physics | Differential Equations
Book
2009, Foundations and trends in computer graphics and vision, ISBN 9781601982681, Volume 4, issue 3., Issue 3, ix, [2], 99
Book
Applied mathematics and computation, ISSN 0096-3003, 11/2019, Volume 361, pp. 777 - 787
Journal Article
Automatica (Oxford), ISSN 0005-1098, 08/2018, Volume 94, pp. 125 - 137
.... Adopting the Bayesian perspective, the impulse response is modeled as a non-stationary Gaussian process with zero mean and with a certain kernel (i.e. covariance) function... 
Power spectral density | System identification | Kernel-based methods | Random features | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Science & Technology
Journal Article
Monthly notices of the Royal Astronomical Society, ISSN 1365-2966, 04/2017, Volume 466, Issue 1, pp. 798 - 811
I start by providing an updated summary of the penalized pixel-fitting (PPXF) method that is used to extract the stellar and gas kinematics, as well as the... 
Techniques: radial velocities | Techniques: spectroscopic | Galaxies: kinematics and dynamics | Physical Sciences | Astronomy & Astrophysics | Science & Technology | Accuracy | Normal distribution | Velocity | Astronomy | Dispersion | Kinematics | Kernels | Fittings | Convolution | Galaxies | Mathematical analysis | Line of sight | Physics - Astrophysics of Galaxies
Journal Article
The Stata journal, ISSN 1536-8734, 11/2018, Volume 14, Issue 3, pp. 580 - 604
In many observational studies, the treatment may not be binary or categorical but rather continuous, so the focus is on estimating a continuous dose- response function... 
Penalized spline estimator | Generalized propensity score | Weak unconfoundedness | Drf | St0352 | Kernel estimator | Dose–response function | Statistics & Probability | Physical Sciences | Social Sciences | Social Sciences, Mathematical Methods | Mathematics | Mathematical Methods In Social Sciences | Science & Technology | Parameter estimation | Analysis
Journal Article
Neural networks, ISSN 0893-6080, 02/2019, Volume 110, pp. 19 - 32
Neural networks are generally built by interleaving (adaptable) linear layers with (fixed) nonlinear activation functions... 
Kernel methods | Neural networks | Activation functions | Index Medicus
Journal Article
Automatica (Oxford), ISSN 0005-1098, 03/2014, Volume 50, Issue 3, pp. 657 - 682
Journal Article
Journal of mathematical analysis and applications, ISSN 0022-247X, 02/2015, Volume 422, Issue 1, pp. 712 - 740
Let Ω⊂Rn be an open, connected subset of Rn, and let F:Ω−Ω→C, where Ω−Ω={x−y:x,y∈Ω}, be a continuous positive definite function... 
Commuting selfadjoint extension | Unitary representation | Reproducing kernel Hilbert space | Symmetric (Hermitian) unbounded operator | Spectral resolution | Positive definite function | Physical Sciences | Mathematics | Mathematics, Applied | Science & Technology
Journal Article