Model inference is often based on a single best models, despite modern computers easily can process many models concurrently. One reason is the manual labour involved. Managing model ensembles can become tedious when performed manually. This work presents the software design and a prototype that is concerned to facilitate that task. Requirements are discussed and examples given. Practitioners who do not shy away from interactive ensemble model management will certainly benefit from these ideas. Other readers are welcome to re-check with model ensembles and see the myth of tedious labour dissolving.
The question of who actually ran cities in the eighteenth, nineteenth, and twentieth centuries has been increasingly debated in recent years. As well as trying to understand the distribution of political power and the rise of broad political participation, urban historians have questioned how and whether elites retained influence in municipal government. The essays in this collection provide a detailed examination of the relationship between urban elites and the exercise of 'power', bringing together economic, social and cultural history with the political history of power resources and decision-making. The volume challenges common perceptions of a monolithic urban elite by looking at specific case studies. Collectively these essays provide a more sophisticated view of the exercise of urban power as the negotiation of various elite groups defined by their economic, social, political or cultural privilege. To contribute to this complex account of the history of cities, elites, and their influence, the collection applies a range of methodological approaches to studying European and American cities, as well as the wider world.
Model inference is often based on a single best models, despite modern computers easily can process many models concurrently. One reason is the manual labour involved. Managing model ensembles can become tedious when performed manually. This work presents the software design and a prototype that is concerned to facilitate that task. Requirements are discussed and examples given. Practitioners who do not shy away from interactive ensemble model management will certainly benefit from these ideas. Other readers are welcome to re-check with model ensembles and see the myth of tedious labour dissolving.
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