Abstract: This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, log linear models without mixtures have been used as ...
Abstract: Performance evaluation of the linear kernel SVM for land cover classification using the GEE platform in Telangana, India (Longitude: 79.78E Latitude: 7.78N) is presented in this paper.
This is a simple implementation of a KDE - Kernel Density Extimator in Odin that finds automatically or manually the bandwith parameter. It find a smooth N Gaussian PDF - Probability Density Function ...
https://www.accenture.com/content/dam/accenture/final/a-com-migration/r3-3/pdf/pdf-144/accenture-the-european-double-up.pdf ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback