924 resultados para The issue of autonomy


Relevância:

100.00% 100.00%

Publicador:

Resumo:

Nowadays, modern society is gradually becoming multicultural. However, only in the last few years awareness on its importance has been raised. In the case of Colombia, multiculturalism has existed since the pre-Columbian period and today there are more than 80 ethnic groups and 65 indigenous languages in the country. The aim of this work is to illustrate the status of indigenous languages in Colombia and to enlighten about the importance of recognizing, protecting and strengthening the use of these native languages. Subsequent to this, it will be point out that linguistic diversity should be considered a resource and not a barrier to achieve unity in diversity. Finally, ethno-education will be presented as an adequate educational program that may guarantee an equal linguistic representation in the country.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

This article discusses the tensions between the principle of state sovereignty and the idea of a "humanitarian intervention" (or a intervention on humanitarian grounds) as they resulted from the debate of leading legal scholars in the 19th and early 20th century. While prominent scholars such as Johann Caspar Bluntschli, Gustave Rolin Jaequemyns or Aegidius Arntz spoke out in favour of a form of "humanitarian interventions", others such as August Wilhelm Heffter or Pasquale Fiore were much more critical and in many cases spoke out in favour of absolute state sovereignty.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Caption title.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

"Considerably more than a fifth of the original matter has been omitted [from the present edition]"--P. v.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Thesis (Ph.D.)--University of Washington, 2016-06

Relevância:

100.00% 100.00%

Publicador:

Resumo:

We propose a Bayesian framework for regression problems, which covers areas which are usually dealt with by function approximation. An online learning algorithm is derived which solves regression problems with a Kalman filter. Its solution always improves with increasing model complexity, without the risk of over-fitting. In the infinite dimension limit it approaches the true Bayesian posterior. The issues of prior selection and over-fitting are also discussed, showing that some of the commonly held beliefs are misleading. The practical implementation is summarised. Simulations using 13 popular publicly available data sets are used to demonstrate the method and highlight important issues concerning the choice of priors.