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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.
Bootstrap works with schools, districts and organizations across the United States, reaching hundreds of teachers and tens of thousands of students [3] [4] since its foundation in 2006. Workshops are also offered throughout the country, where teachers receive specialized training to deliver the class.
P * is the realized values of P based on a calibration set, T. T is used to find all possible variation in P. P * is bound by parameters C and B. C is the expectation value of P, written E(P), and B is a bootstrapping distribution called the Monte Carlo approximation. The standard deviation can be found using this technique. The values of B ...
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 ...
The name Münchhausen-Trilemma was coined by the German philosopher Hans Albert in 1968 in reference to a trilemma of "dogmatism versus infinite regress versus psychologism" used by Karl Popper. [1] It is a reference to the problem of " bootstrapping ", based on the story of Baron Munchausen (in German, "Münchhausen") pulling himself and the ...
[3] [17] In most formats, a game ends once the moderator has finished reading every question in a packet, usually 20. [3] Tie-breaking procedures may include reading extra toss-ups until the tie is broken or sudden-death toss-ups. [3] [17] Quiz bowl tests players in a variety of academic subjects including literature, science, history, and fine ...
If ′ =, then for large the set is expected to have the fraction (1 - 1/e) (~63.2%) of the unique samples of , the rest being duplicates. [1] This kind of sample is known as a bootstrap sample. Sampling with replacement ensures each bootstrap is independent from its peers, as it does not depend on previous chosen samples when sampling.
Stage 1: the bootstrap compiler is produced. This compiler is enough to translate its own source into a program which can be executed on the target machine. At this point, all further development is done using the language defined by the bootstrap compiler, and stage 2 begins. Stage 2: a full compiler is produced by the bootstrap compiler.