Example: tourism industry

Sive

Found 5 free book(s)
A Fast String Searching Algorithm

A Fast String Searching Algorithm

www.cs.utexas.edu

sive patlen characters of string starting at that position match the successive patlen characters of pat. Knuth, Morris, and Pratt [4] have observed that this algorithm is quadratic. That is, in the worst case, the number of comparisons is on the order of i * patlen.l Knuth, Morris, and Pratt have described a linear

  Vise

THE COMMON LAW AND CIVIL LAW TRADITIONS

THE COMMON LAW AND CIVIL LAW TRADITIONS

www.law.berkeley.edu

sive whole. In the eighteenth century, the reform-ing aspirations of Enlightenment rulers aligned with jurists’ desire to rationalize the law to produce comprehensive, systematic legal codes including Austria’s 1786 . Code of Joseph II. and . Complete Civil Code of 1811, Prussia’s . Complete Territorial Code . of 1794, and France’s ...

  Common, Civil, Tradition, Vise, The common law and civil law traditions

Tourism Growth, Development and Impacts

Tourism Growth, Development and Impacts

booksite.elsevier.com

sive and frequently dangerous (Williams, 1998). Yet journeys were undertaken and this implies some strong motivating factors. However, it is only in the last 150 years, as travel has become more affordable and less difficult, that some of those who travelled were prepared to openly admit that pleasure was one of the motivations for their journeys.

  Tourism, Vise

GARCH(1,1) models

GARCH(1,1) models

math.berkeley.edu

sive structure within itself. The GARCH(p,q) (generalized ARCH) model is given by X t= e t˙ t ˙2 t = !+ 1X 2 t 1 + :::+ pX 2 t p+ 1˙ 2 t 1 + :::+ q˙ 2 t q: This model, in particular the simpler GARCH(1,1) model, has become widely used in nancial time series modelling and is implemented in most statistics and econometric software packages.

  Garch, Vise

A Simple Framework for Contrastive Learning of Visual ...

A Simple Framework for Contrastive Learning of Visual ...

arxiv.org

sive and may not be necessary for representation learning. Discriminative approaches learn representations using objec-tive functions similar to those used for supervised learning, but train networks to perform pretext tasks where both the in-puts …

  Vise

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