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PageNet. PageNet , also known as Paging Network, Inc., was founded in 1981 by entrepreneur George Perrin and ceased in 1999. The company grew to become the largest wireless messaging company in the world, with more than 10 million pagers in service, and $1 billion in revenues, before the paging industry's rapid decline in the late 1990s.
Bootstrapping is any test or metric that uses random sampling with replacement (e.g. mimicking the sampling process), and falls under the broader class of resampling methods. Bootstrapping assigns measures of accuracy ( bias, variance, confidence intervals, prediction error, etc.) to sample estimates.
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 ...
Officials in the South African city of George halted the search for survivors and more bodies on Friday at the site of a collapsed building where 33 people died. Rescue personnel and volunteers ...
Rescue teams in South Africa forged ahead Monday with efforts to find any survivors still trapped under rubble a week after an apartment building that was under construction collapsed. Authorities ...
Pager. A pager, also known as a beeper or bleeper, [1] is a wireless telecommunications device that receives and displays alphanumeric or voice messages. One-way pagers can only receive messages, while response pagers and two-way pagers can also acknowledge, reply to, and originate messages using an internal transmitter. [2]
In statistics, the bootstrap is a method for inferring the variability of data that has an unknown distribution using pseudoreplications of the original data. For example, given a set of 100 data points, a pseudoreplicate is a data set of the same size (100 points) randomly sampled from the original data, with replacement.
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.