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Machine learning algorithms can now outperform classic economic models in predicting quantities ranging from bargaining outcomes, to choice under uncertainty, to an individual's future jobs and wages. Yet this predictive accuracy comes at a…

Theoretical Economics · Economics 2025-08-27 Annie Liang

This work focuses on the nature of visibility in societies where the behaviours of humans and algorithms influence each other - termed algorithmically infused societies. We propose a quantitative measure of visibility, with implications and…

Social and Information Networks · Computer Science 2024-12-09 Shaojing Sun , Zhiyuan Liu , David Waxman

This paper presents an overview of the main trends in processor architecture. It starts with an analysis of the past evolution of processors and the main driving forces behind it, and then it focuses on a description of the main…

Hardware Architecture · Computer Science 2022-03-14 Antonio Gonzalez

A great many tools have been developed for supervised classification, ranging from early methods such as linear discriminant analysis through to modern developments such as neural networks and support vector machines. A large number of…

Statistics Theory · Mathematics 2007-06-13 David J. Hand

Innovation and its complement exnovation describe the progression of realized possibilities from the past to the future, and the process depends on the structure of the underlying graph. For example, the phylogenetic tree represents the…

Populations and Evolution · Quantitative Biology 2025-03-03 Edward D. Lee , Ernesto Ortega-Díaz

Breakthrough technologies increasingly shape social institutions, economic systems, and political futures. Yet models of research excellence associated with such technologies often prioritize technical performance, scalability, and…

When discussing future concerns within socio-technical systems in work contexts, we often find descriptions of missed technology development and integration. The experience of technology that fails whilst being integrated is often rooted in…

Human-Computer Interaction · Computer Science 2021-07-09 Sarah Janboecke , Susanne Zajitschek

Novelty is an inherent part of innovations and discoveries. Such processes may be considered as an appearance of new ideas or as an emergence of atypical connections between the existing ones. The importance of such connections hints for…

Digital Libraries · Computer Science 2020-03-24 Serhii Brodiuk , Vasyl Palchykov , Yurij Holovatch

Machine learning and data mining techniques are utiized for enhancement of the security of any network. Researchers used machine learning for pattern detection, anomaly detection, dynamic policy setting, etc. The methods allow the program…

Cryptography and Security · Computer Science 2024-08-31 Aviral Srivastava , Dhyan Thakkar , Sharda Valiveti , Pooja Shah , Gaurang Raval

Social media comprises interactive applications and platforms for creating, sharing and exchange of user-generated contents. The past ten years have brought huge growth in social media, especially online social networking services, and it…

Social and Information Networks · Computer Science 2012-03-09 Sheng Yu , Subhash Kak

This essay argues that a new form of democracy - an "Emergent Democracy" - will develop as a result of the use of Internet communication tools and platforms such as blogs. The essay explores a variety of tools available and explores the…

Physics and Society · Physics 2018-07-27 Joichi Ito

This paper proposes an introduction to one of the newest modelling methods, an executable model based on workflows. We present the terminology for some basic workflow patterns, as described in the Workflow Management Coalition Terminology…

Software Engineering · Computer Science 2009-03-03 Alexandra Fortis , Florin Fortis

Context. Innovation is promoted in companies to help them stay competitive. Four types of innovation are defined: product, process, business, and organizational. Objective. We want to understand the perception of the innovation concept in…

Software Engineering · Computer Science 2022-08-04 Johan Linåker , Husan Munir , Per Runeson , Björn Regnell , Claes Schrewelius

In traditional production plants, current technologies do not provide sufficient context to support information integration and interpretation. Digital transformation technologies have the potential to support contextualization, but it is…

Human-Computer Interaction · Computer Science 2024-08-20 Romy Müller , Franziska Kessler , David W. Humphrey , Julian Rahm

With the increasing number of created and deployed prediction models and the complexity of machine learning workflows we require so called model management systems to support data scientists in their tasks. In this work we describe our…

Machine Learning · Computer Science 2021-07-30 Florian Bachinger , Gabriel Kronberger

We explore in depth how categorical data can be processed with embeddings in the context of claim severity modeling. We develop several models that range in complexity from simple neural networks to state-of-the-art attention based…

Applications · Statistics 2021-04-09 Kevin Kuo , Ronald Richman

Since users move around based on social relationships and interests, the resulting movement patterns can represent how nodes are socially connected (i.e., nodes with strong social ties, nodes that meet occasionally by sharing the same…

Networking and Internet Architecture · Computer Science 2014-08-01 Waldir Moreira , Paulo Mendes

Robotics is called to be the next technological revolution and estimations indicate that it will trigger the fourth industrial revolution. This article presents a review of some of the most relevant milestones that occurred in robotics over…

The evolution of a thematic area undergoes various changes of perspective and adopts new theoretical approaches that arise from the interactions of the community and a wide range of social needs. The advent of digital technologies, such as…

We model the evolution of the Internet at the Autonomous System level as a process of competition for users and adaptation of bandwidth capability. We find the exponent of the degree distribution as a simple function of the growth rates of…

Disordered Systems and Neural Networks · Physics 2009-11-10 M. Angeles Serrano , Marian Boguna , Albert Diaz-Guilera
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