Results 41 to 50 of about 1,147,811 (393)

Wavelet Ridges in EEG Diagnostic Features Extraction: Epilepsy Long-Time Monitoring and Rehabilitation after Traumatic Brain Injury

open access: yesSensors, 2021
Interchannel EEG synchronization, as well as its violation, is an important diagnostic sign of a number of diseases. In particular, during an epileptic seizure, such synchronization occurs starting from some pairs of channels up to many pairs in a ...
Yury Vladimirovich Obukhov   +4 more
doaj   +1 more source

On ridge operators

open access: yesLinear Algebra and its Applications, 2008
AbstractLet X be an n by p matrix, and define RX(λ)=X(X′X+λPX′)-X′, which is called a ridge operator, where λ is a nonnegative constant (called the ridge parameter), and PX′=X′(XX′)-X. Various properties of RX(λ) were discussed, including additive decompositions of this matrix similar to those of PX≡RX(0)=X(X′X)-X′, the orthogonal projector onto the ...
Yoshio Takane, Haruo Yanai
openaire   +2 more sources

Ridge Regression and Other Kernels for Genomic Selection with R Package rrBLUP

open access: yes, 2011
Many important traits in plant breeding are polygenic and therefore recalcitrant to traditional marker‐assisted selection. Genomic selection addresses this complexity by including all markers in the prediction model.
Jeffrey B. Endelman
semanticscholar   +1 more source

Effectiveness of vertical ridge augmentation interventions: A systematic review and meta-analysis.

open access: yesJournal of Clinical Periodontology, 2019
AIM The primary aim of this systematic review was to evaluate the effect of various techniques used for vertical ridge augmentation on clinical vertical bone gain. MATERIAL AND METHODS A protocol was developed to answer the following focused question: "
Istvan A. Urban   +3 more
semanticscholar   +1 more source

Adding bias to reduce variance in psychological results: A tutorial on penalized regression [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2017
Regression models are commonly used in psychological research. In most studies, regression coefficients are estimated via maximum likelihood (ML) estimation.
Helwig, Nathaniel E.
doaj   +1 more source

Comparison of Highbush Blueberry (Vaccinium corymbosum L.) under Ridge and Pot Production

open access: yesAgriculture, 2021
Due to the specific requirements for low soil pH, new production methods are being introduced for highbush blueberry (Vaccinium corymbosum L.). Planting in pots has gained popularity in recent years due to the easier control of the substrate pH.
Tina Smrke   +4 more
doaj   +1 more source

Bose enhancement and the ridge

open access: yesPhysics Letters B, 2015
We point out that Bose enhancement in a hadronic wave function generically leads to correlations between produced particles. We show explicitly, by calculating the projectile density matrix in the Color Glass Condensate approach to high-energy hadronic collisions, that the Bose enhancement of gluons in the projectile leads to azimuthal collimation of ...
Tolga Altinoluk   +4 more
openaire   +5 more sources

The mean composition of ocean ridge basalts

open access: yes, 2013
The mean composition of mid‐ocean ridge basalts (MORB) is determined using a global data set of major elements, trace elements, and isotopes compiled from new and previously published data.
A. Gale   +4 more
semanticscholar   +1 more source

High-Dimensional Asymptotics of Prediction: Ridge Regression and Classification [PDF]

open access: yes, 2015
We provide a unified analysis of the predictive risk of ridge regression and regularized discriminant analysis in a dense random effects model. We work in a high-dimensional asymptotic regime where $p, n \to \infty$ and $p/n \to \gamma \in (0, \, \infty)$
Edgar Dobriban, Stefan Wager
semanticscholar   +1 more source

Ridge Regression, Hubness, and Zero-Shot Learning [PDF]

open access: yesECML/PKDD, 2015
This paper discusses the effect of hubness in zero-shot learning, when ridge regression is used to find a mapping between the example space to the label space.
Yutaro Shigeto   +4 more
semanticscholar   +1 more source

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