1,721,346 research outputs found
Decretum Illustrissimi Domini D. Francisci De Salignac La Mothe Finelon
No full textDECRETUM ILLUSTRISSIMI DOMINI D. FRANCISCI DE SALIGNAC LA MOTHE FINELON
Decretum Illustrissimi Domini D. Francisci De Salignac La Mothe Finelon ( - )
[Hauptteil.] ( -
Towards Intelligent Pulverized Systems: a Modern Approach for Edge-Cloud Services
No full textEmerging trends are leveraging the potential of the edge-cloud continuum to foster the creation of smart services capable of adapting to the dynamic nature of modern computing landscapes. This adaptation is achievable through two primary methods: by leveraging the underlying architecture to refine machine learning algorithms, and by implementing machine learning algorithms to optimize the distribution of resources and services intelligently. This paper explores the latter approach, focusing on recent advancements in pulverized architecture, collective intelligence, and many-agent reinforcement learning systems. This novel trend, which we refer to as intelligent pulverized system (IPS), aims to create a new generation of services that can adapt to the complex and dynamic nature of the edge-cloud continuum. Our proposed learning framework integrates many-agent reinforcement learning, graph neural networks, and aggregate computing to create intelligent services tailored for this environment. We discuss the application of this framework across different levels of the pulverization model, illustrating its potential to enhance the adaptability and efficiency of services within the edge-cloud continuum
ScaRLib: Towards a hybrid toolchain for aggregate computing and many-agent reinforcement learning
No full textThis article introduces ScaRLib, a Scala-based framework that aims to streamline the development cyber-physical swarms scenarios (i.e., systems of many interacting distributed devices that collectively accomplish system-wide tasks) by integrating macroprogramming and multi-agent reinforcement learning to design collective behavior. This framework serves as the starting point for a broader toolchain that will integrate these two approaches at multiple points to harness the capabilities of both, enabling the expression of complex and adaptive collective behavior
Proximity-based Self-Federated Learning
No full textIn recent advancements in machine learning, federated learning allows a network of distributed clients to collaboratively develop a global model without needing to share their local data. This technique aims to safeguard privacy, countering the vulnerabilities of conventional centralized learning methods. Traditional federated learning approaches often rely on a central server to coordinate model training across clients, aiming to replicate the same model uniformly across all nodes. However, these methods overlook the significance of geographical and local data variances in vast networks, potentially affecting model effectiveness and applicability. Moreover, relying on a central server might become a bottleneck in large networks, such as the ones promoted by edge computing. Our paper introduces a novel, fully-distributed federated learning strategy called proximity-based self-federated learning that enables the self-organised creation of multiple federations of clients based on their geographic proximity and data distribution without exchanging raw data. Indeed, unlike traditional algorithms, our approach encourages clients to share and adjust their models with neighbouring nodes based on geographic proximity and model accuracy. This method not only addresses the limitations posed by diverse data distributions but also enhances the model's adaptability to different regional characteristics creating specialized models for each federation
Eminentissimi Ac Reverendissimi Domini, D. Joannis Baptistae Cardinalis De Luca, Theatrum Veritatis & Iustitiae, Sive Decisivi Discursus
No full textEMINENTISSIMI AC REVERENDISSIMI DOMINI, D. JOANNIS BAPTISTAE CARDINALIS DE LUCA, THEATRUM VERITATIS & IUSTITIAE, SIVE DECISIVI DISCURSUS
Eminentissimi Ac Reverendissimi Domini, D. Joannis Baptistae Cardinalis De Luca, Theatrum Veritatis & Iustitiae, Sive Decisivi Discursus
Pars I. De iudiciis & iudicialibus. Hoc est de Sententia & re iudicata, Executione, Attentatis, Iudice, Notario, Advocatis, Procuratoribus, Expensis, & aliis ad materiam iudiciorum. Pars II. Relatio Romanae Curiae forensis, eiusque Tribunalium, & Congregationum (3,1 = 15) ([1]
Memoriam Reverendissimi Domini D. Martini Geieri, Viri Per Orbem Celeberrimi, Theologi Modis Omnibus Incomparabilis Literarumque Sacrarum Herois Maximi
No full textMEMORIAM REVERENDISSIMI DOMINI D. MARTINI GEIERI, VIRI PER ORBEM CELEBERRIMI, THEOLOGI MODIS OMNIBUS INCOMPARABILIS LITERARUMQUE SACRARUM HEROIS MAXIMI
Memoriam Reverendissimi Domini D. Martini Geieri, Viri Per Orbem Celeberrimi, Theologi Modis Omnibus Incomparabilis Literarumque Sacrarum Herois Maximi ([1])
Titelseite ([1])
Widmung ([1])
Text ([2]
"Il mal mi preme e mi spaventa il peggio". Primi contributi di Corrado Ricci al dibattito sul restauro
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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