Search results for "ANKI"
showing 10 items of 816 documents
Venantius Fortunatus - muistumat Ermoldus Nigelluksen eepoksessa Carmen in honorem Hludowichi Caesaris
2010
Carmen in honorem Hludowichi Caesaris on neljään kirjaan jakautuva, elegiseen mittaan kirjoitettu eepos, joka kuvaa Ludwig Hurskaan hallintokautta 800-luvun alusta 820-luvulle. Sen kirjoitti Ermoldus Nigellus -niminen kirkonmies tavoitteenaan päästä teoksen avulla maanpaosta. Ermolduksen kirjoituksista on säilynyt lisäksi kaksi Ludwigin pojalle Pippinille omistettua runokirjettä. Yksi tärkeimmistä Ermolduksen malleista oli Venantius Fortunatus (n. v. 540–600), joka tunnetaan parhaiten merovingikuninkaita ylistävästä panegyriikasta, Pyhän Martin (Martinus) runomuotoisesta elämäkerrasta sekä hymneistä Pange lingua ja Vexilla regis prodeunt. Karolingikaudella Venantiuksen runoja pidettiin arvo…
Exergy analysis and thermoeconomic cost accounting of a Combined Heat and Power steam cycle integrated with a Multi Effect Distillation-Thermal Vapou…
2017
Abstract In this paper an exergy analysis and thermoeconomic cost accounting of a Combined Heat and Power steam cycle integrated with Multi Effect Distillation-Thermal Vapour Compression plant is performed; the goal of the study is to show how these methodologies provide a rational criterion to allocate production costs on electricity and freshwater in such a dual purpose system. After a brief overview on the methodology and a description of reference plant, exergy analysis is carried out to calculate exergy flows and exergy efficiencies at component level. A detailed description of the adopted thermoeconomic model is given. In a first scenario, cost accounting is performed assuming that th…
WORDY: a Semi-automatic Methodology aimed at the Creation of Neologisms based on a Semantic Network and Blending Devices
2017
In this paper, we propose a semi-automatic tool, named WORDY, that implements a methodology aimed at speeding-up the pro- cess of creation of neologisms. The approach exploits a semantic network, which is explored through the spreading activation methodology and ex- ploits three blending linguistic techniques together with a proper ranking function in order to support companies in the creation of neologisms ca- pable of evoking semantic meaningful associations to customers.
Distributed and proximity-constrained C-means for discrete coverage control
2018
In this paper we present a novel distributed coverage control framework for a network of mobile agents, in charge of covering a finite set of points of interest (PoI), such as people in danger, geographically dispersed equipment or environmental landmarks. The proposed algorithm is inspired by C-Means, an unsupervised learning algorithm originally proposed for non-exclusive clustering and for identification of cluster centroids from a set of observations. To cope with the agents' limited sensing range and avoid infeasible coverage solutions, traditional C-Means needs to be enhanced with proximity constraints, ensuring that each agent takes into account only neighboring PoIs. The proposed co…
Can Interpretable Reinforcement Learning Manage Prosperity Your Way?
2022
Personalisation of products and services is fast becoming the driver of success in banking and commerce. Machine learning holds the promise of gaining a deeper understanding of and tailoring to customers’ needs and preferences. Whereas traditional solutions to financial decision problems frequently rely on model assumptions, reinforcement learning is able to exploit large amounts of data to improve customer modelling and decision-making in complex financial environments with fewer assumptions. Model explainability and interpretability present challenges from a regulatory perspective which demands transparency for acceptance; they also offer the opportunity for improved insight into and unde…
Mislabel Detection of Finnish Publication Ranks
2019
The paper proposes to analyze a data set of Finnish ranks of academic publication channels with Extreme Learning Machine (ELM). The purpose is to introduce and test recently proposed ELM-based mislabel detection approach with a rich set of features characterizing a publication channel. We will compare the architecture, accuracy, and, especially, the set of detected mislabels of the ELM-based approach to the corresponding reference results on the reference paper.
Elites, communities and the limited benefits of mentorship in electronic music
2020
AbstractWhile the emergence of success in creative professions, such as music, has been studied extensively, the link between individual success and collaboration is not yet fully uncovered. Here we aim to fill this gap by analyzing longitudinal data on the co-releasing and mentoring patterns of popular electronic music artists appearing in the annual Top 100 ranking of DJ Magazine. We find that while this ranking list of popularity publishes 100 names, only the top 20 is stable over time, showcasing a lock-in effect on the electronic music elite. Based on the temporal co-release network of top musicians, we extract a diverse community structure characterizing the electronic music industry.…
Aggregation of the web performance of internal university units as a method of quantitative analysis of a university system: the case of Spain
2013
The aggregation of web performance data (page count and visibility) of internal university units could constitute a more precise indicator than the overall web performance of the universities and, therefore, be of use in the design of university web rankings. In order to test this hypothesis, a longitudinal analysis of the internal units of the Spanish university system was conducted over the course of 2010. For the 13,800 URLs identified, page count and visibility were calculated using the Yahoo! API. The internal values obtained were aggregated by university and compared with the values obtained from the analysis of the universities' general URLs. The results indicate that, although the c…
Fair Pairwise Learning to Rank
2020
Ranking algorithms based on Neural Networks have been a topic of recent research. Ranking is employed in everyday applications like product recommendations, search results, or even in finding good candidates for hiring. However, Neural Networks are mostly opaque tools, and it is hard to evaluate why a specific candidate, for instance, was not considered. Therefore, for neural-based ranking methods to be trustworthy, it is crucial to guarantee that the outcome is fair and that the decisions are not discriminating people according to sensitive attributes such as gender, sexual orientation, or ethnicity.In this work we present a family of fair pairwise learning to rank approaches based on Neur…
Banks, Firms and Economic Culture: Economists and Research Centres in Interwar Italy
2020
In the interwar years, Italy experimented a strong growth of applied economic research. The foundation of research centers can be read and placed in a much wider international trend that emerged during the Great War. In this essay, we offer a map of the most important research centers, exploring the extensive web of relationships between the academia and the productive world. We then focus on a set of case studies, selected for their relevance. Section 2 is devoted to the banking sector, with reference to four important cases (Banca Commerciale Italiana, Banca d’Italia, Associazione Bancaria Italiana and Banco di Sicilia); section 3 to the industrial sector (IRI, Finsider, Ansaldo, Edison, …