929 resultados para Incomplete diallel


Relevância:

20.00% 20.00%

Publicador:

Resumo:

The March 2016 EU Summit was yet another attempt to make progress on managing the EU’s migration/refugee crisis. In this post-summit analysis, Janis A. Emmanouilidis argues that the EU-Turkey deal, which foresees a return of migrants from Greece to Turkey and a direct resettlement of Syrians from Turkey to the EU on the grounds of a ‘1-for-1’ scheme, is a key and necessary element in a very complex puzzle trying to stop ‘irregular routes’ of migration. The ultimate success of this agreement is by no means certain, but it has the chance to reduce the number of people arriving at the shores of Europe. However, this would neither settle the crisis nor will it provide an adequate response to those in need of international protection. The ‘humanitarian imperative’ requires that the EU-Turkey deal is complemented by a much more ambitious direct resettlement scheme and other long-term measures as part of a comprehensive plan aiming to balance ‘solidarity and security’ in an effort to sustainably overcome the crisis.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Vita.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

"B-209057"--Prelim. p.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Social networks constitute a major channel for the diffusion of information and the formation of attitudes in a society. Introducing a dynamic model of social learning, the first part of this thesis studies the emergence of socially influential individuals and groups, and identifies the characteristics that make them influential. The second part uses a Bayesian network game to analyse the role of social interaction and conformism in the making of decisions whose returns or costs are ex ante uncertain.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

We analyse how the Generative Topographic Mapping (GTM) can be modified to cope with missing values in the training data. Our approach is based on an Expectation -Maximisation (EM) method which estimates the parameters of the mixture components and at the same time deals with the missing values. We incorporate this algorithm into a hierarchical GTM. We verify the method on a toy data set (using a single GTM) and a realistic data set (using a hierarchical GTM). The results show our algorithm can help to construct informative visualisation plots, even when some of the training points are corrupted with missing values.