494 research outputs found
Metric Learning for Prototype-Based Classification
No full textBiehl M, Hammer B, Schneider P, Villmann T. Metric learning for prototype based classification. In: Bianchini M, Maggini M, Scarselli F, eds. Innovations in Neural Information – Paradigms and Applications. Studies in Computational Intelligence, 247. Berlin: Springer; 2009: 183-199
Young People’s Voting Behaviour in Europe : A Comparative Perspective
No full textThis book uses various concepts of ‘age’ to examine young people’s voting behaviour in six European countries between 1981 and 2000. It addresses questions such as: what are the determinants of voting choices among young people, and to what extent are these factors different from those of adults? Through an innovative approach aimed at studying party choice with a strong empirical orientation, the author argues that age is less important in influencing voting choices than having been young and socialized to politics in a given historical period. Ultimately, values and political factors explain young people’s voting choices more than social identities, which marks a change from previous generations. This book will appeal to students and scholars in comparative politics, electoral behaviour, party politics, and political sociology
Advances in Neural Information Processing Paradigms
No full textThis chapter provides an introduction and motivates the leading thread of the following ten chapters that were collected to present some of the most recent advances in neural processing models, concerning both the analysis of theoretical properties of novel neural architectures and the illustration of some real–world applications. Not pretending to be exhaustive, this chapter and the whole book delineate an evolving picture of connectionism, in which neural information systems are moving towards approaches that try to exploit the symbolic information available mostly as relations among the data and to specialize themselves, sometimes based on biological inspiration, to cope with difficult applications
Understanding the Electoral Rise of the Five Star Movement in Italy
No full textThe economic crisis, the fall of the Berlusconi government and the birth of the technocratic government led by Mario Monti have produced several changes in the Italian political system. Certainly, one of the most important innovations in the context of Italian politics has been the emergence of the Five Star Movement. Such a new party has achieved spectacular overnight success in several elections at sub-national level, and now it is the most voted party in the 2013 national elections. The Five Star Movement combines anti-establishment rhetoric with demands for political reform. The article analyses the electoral growth of the Five Star Movement using both aggregate data and individual data from “Osservatorio Politico CISE” (i.e. cross-section and panel surveys conducted from November 2011 to March 2013). In particular, the author investigates whether the profile of the supporters of the Five Star Movement has changed over time, both from a political and a social standpoint. Finally, the author analyses what factors influence the electoral choice for the Five Star Movement, also from a longitudinal perspective
A Fast Method for Web Template Extraction via a Multi-sequence Alignment Approach
No full textThe increased richness of the page contents and the diffusion of content management systems are responsible for the impressive changes happened in the last decade in a typical Web site layout. In fact, most of the Web sites are endowed with a template which gives them a uniform graphical and functional structure. Templates, by themselves, do not change the informative content of the pages, but they are typically designed to enhance the usability by uniformly organizing the contents following a standardized arrangement of functional blocks and by providing navigation tools, like menus or banners. However, the additional information provided by the template can worsen the performances of many algorithms for automatic Web processing. In fact, templates are designed for human users and provide redundant information that is marginally correlated with the main contents of a given page. These additional parts act as a noise source for many automated tasks such as web crawling, indexing, page classification and clustering. Hence, a preprocessing step to detect and strip the parts related to the template is needed to extract only the specific contents of each page. The critical part for the automation of this process is the accurate detection of the template, given a minimal set of pages from a given site.
The template consists in parts of the HTML tag structure that are shared by all the pages from the site, and its detection is made difficult by the variable parts intermixed with them. We propose an algorithm for template extraction that is based on the alignment of the HTML sequences of a set of pages. This approach is quite fast since it exploits efficient alignment algorithms proposed in bioinformatics and does not require complex tree matching or visual layout analysis. The algorithm aligns the HTML tag streams from pairs of pages and extracts a set of candidate templates that are merged following a binary tree consensus schema to increase the algorithm precision. The experimental evaluation shows that 16 sample pages are enough to extract the site template with good accuracy. The effects of the template stripping on a clustering task are also investigated, showing that the clustering quality can be effectively improved
La disciplina penale ed amministrativa degli abusi di mercatoe la sua applicazione ai sistemi multilaterali di negoziazione
No full textDOPO UNA PANORAMICA SULLE DIRETTIVE MIFID E MAD, VENGONO APPROFONDITI GLI ILLECITI DI MANIPOLAZIONE ED INSIDER TRADING E L'APPLICAZIONE DELLA RELATIVA DISCIPLINA AI SISTEMI MULTILATERALI DI NEGOZIAZIONEAFTER A VIEW ON MIFID AND MAD DIRECTIVE, THE AUTHOR DESCRIBES REGULATION AGAINST MARKET MANIPULATION AND INSIDER TRADING, ALSO APPLIED ON MULTILATERAL TRADING SYSTE
Le elezioni comunali del maggio 2011 nei comuni con oltre 15.000 abitanti: il voto per blocchi e per partiti
No full textThis article analyzes the results of the Italian municipal elections held in May 2011. First, we make a simple count of the municipalities won by the various political blocs, and secondly we make a comparison with the results of regional elections of 2010. We have compared data concerning both the electoral performances of political blocs and those of the political parties who appeared in this election. We also present the results as disaggregated data, both from a demographic standpoint and from a geographical point of view. The analysis shows a clear electoral defeat of the center-right coalition, both in terms of municipalities lost and in terms of percentages of votes obtained. The fact that these two phenomena have occurred especially in the North, its traditional area of electoral strength, makes this defeat particularly significant. The center-left coalition, due to the difficulties of its opponent, gets a good result in terms of number of municipalities won, while not improving its performance in terms of percentages of votes obtained. The centrist coalition, finally, does not get a great performance in terms of votes obtained, but it often proves decisive in forcing the other two coalitions to the second ballot
A Multi-sequence Alignment Algorithm for Web Template Detection
No full textNowadays most of Web pages are automatically assembled by content management systems or editing tools that apply a fixed template to give a uniform structure to all the documents beloging to the same site. The tem- plate usually contains side information that provides better graphics, navigation bars and menus, banners and advertisements that are aimed to improve the users’ browsing experience but may hinder tools for automatic processing of Web documents. In this paper, we present a novel template removing technique that exploits a sequence alignment algorithm from bioinformatics that is able to automatically extract the template from a quite small sample of pages from the same site. The algorithm detects the common structure of HTML tags among pairs of pages and merges the partial hypotheses using a binary tree consensus schema. The experi- mental results show that the algorithm is able to attain a good precision and recall in the retrieval of the real template structure exploiting just 16 sample pages from the site. Moreover, the positive impact of the template removing technique is shown on a Web page clustering task
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