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The Registration Data Access Protocol ( RDAP) is a computer network communications protocol standardized by a working group at the Internet Engineering Task Force in 2015, after experimental developments and thorough discussions. It is a successor to the WHOIS protocol, used to look up relevant registration data from such Internet resources as ...
Bootstrap (formerly Twitter Bootstrap) is a free and open-source CSS framework directed at responsive, mobile-first front-end web development. It contains HTML, CSS and (optionally) JavaScript -based design templates for typography, forms, buttons, navigation, and other interface components. As of May 2023, Bootstrap is the 17th most starred ...
v. t. e. Bootstrap aggregating, also called bagging (from b ootstrap agg regat ing ), is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression. It also reduces variance and helps to avoid overfitting.
The bootstrap sample is taken from the original by using sampling with replacement (e.g. we might 'resample' 5 times from [1,2,3,4,5] and get [2,5,4,4,1]), so, assuming N is sufficiently large, for all practical purposes there is virtually zero probability that it will be identical to the original "real" sample. This process is repeated a large ...
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Near-field communication ( NFC) is a set of communication protocols that enables communication between two electronic devices over a distance of 4 centimetres (1.6 in) or less. [ 1] NFC offers a low-speed connection through a simple setup that can be used for the bootstrapping of capable wireless connections. [ 2]
Validating input values of a web form before the data is sent to a web server. Logging data about the user's behavior then sending it to a server. The website owner can use this data for analytics , ad tracking , and personalization .
Statistical inference is the process of using data analysis to infer properties of an underlying distribution of probability. [ 1] Inferential statistical analysis infers properties of a population, for example by testing hypotheses and deriving estimates. It is assumed that the observed data set is sampled from a larger population.