Online learning and adaptation over networks: More information is not necessarily better
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In this paper, we develop a stochastic-gradient learning algorithm for situations involving streaming data that arise from an underlying clustered structure. In such settings, the variance of gradient noise can be decomposed into the in-cluster variance si ...
Online learning with streaming data in a distributed and collaborative manner can be useful in a wide range of applications. This topic has been receiving considerable attention in recent years with emphasis on both single-task and multitask scenarios. In ...
The concept of the circular economy has attracted the attention of policy makers and businesses in recent years. However, changing current patterns of resource use is a complex task. This paper aims to shed some light on the understanding of why resources ...
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The 2030 Agenda enhances the role that science plays in sustainable development. However, there is a need for new models of science-policy interface that can shape national agendas more strongly and help evidence-based policy advance the Sustainable Develo ...
Localised and high-frequency measurements of the global horizontal irradiance (GHI) are a key information to assess the level of power production of distributed photovoltaic generation. The paper presents a supervised machine learning-based procedure to es ...
The need to ensure privacy and data protection in educational contexts is driving a shift towards new ways of securing and managing learning records. Although there are platforms available to store educational activity traces outside of a central repositor ...
This article involves a conceptual evaluation of a large-scale innovation policy experiment—so-called smart specialization strategies (S3s)—that took place within the framework of the European regional cohesion programs between 2011 and the present. The go ...
Private households account for more than half of the demand addressed to the transport sector. We propose an analytical framework to describe transitions in transport behaviour across cases and to identify their respective drivers. With this, we aim to bet ...
Based on a seminal policy paper (Foray et al., 2009), the Smart Specialisation Strategies (S3) approach was integrated into the reformed cohesion policy of the European Union for 2014-20. This large-scale European experience provides a unique case study of ...