78 research outputs found

    LIPIcs, Volume 251, ITCS 2023, Complete Volume

    Get PDF
    LIPIcs, Volume 251, ITCS 2023, Complete Volum

    Applications

    Get PDF
    Volume 3 describes how resource-aware machine learning methods and techniques are used to successfully solve real-world problems. The book provides numerous specific application examples: in health and medicine for risk modelling, diagnosis, and treatment selection for diseases in electronics, steel production and milling for quality control during manufacturing processes in traffic, logistics for smart cities and for mobile communications

    Advances in Information Security and Privacy

    Get PDF
    With the recent pandemic emergency, many people are spending their days in smart working and have increased their use of digital resources for both work and entertainment. The result is that the amount of digital information handled online is dramatically increased, and we can observe a significant increase in the number of attacks, breaches, and hacks. This Special Issue aims to establish the state of the art in protecting information by mitigating information risks. This objective is reached by presenting both surveys on specific topics and original approaches and solutions to specific problems. In total, 16 papers have been published in this Special Issue

    The problem of hyperbolic discounting

    Get PDF

    Explaining Shifts in White Racial Liberalism: The Role of Collective Moral Emotions and Media Effects

    Get PDF
    This dissertation seeks to understand the causes of racial liberalism among white Americans, including overtime shifts therein. Drawing on intergroup emotions theory from social psychology, I propose that negative ingroup-focused moral emotions—namely white shame and guilt—are important factors in the formation of racially liberal attitudes, such as white support for race-based affirmative action and government assistance. I further argue that not all whites are equally susceptible to such emotions; that those inclined towards structural attributions for inequality (e.g. white liberals) are more likely to experience them; and that the racial attitudes of such whites are thus more elastic than those of others. Finally, I contend that the salience of these emotions varies as a function of the availability of racial equalitarian media messaging that speaks to black-white status differences in terms of past and/or present white racism. Using cross-sectional, time series, panel, and experimental data, I test these propositions across multiple empirical chapters. I find general support for the theory across multiple methodologies. In the main, the findings suggest that, net of other attitudinally important variables (e.g. racial resentment, social dominance orientation), white racial attitudes would be far more conservative in the absence of collective shame and guilt; that overtime increases in white racial liberalism temporally follow increases in the availability of racial equalitarian media messaging, particularly among white liberals and Democrats; and that racial equalitarian media messaging elicits white shame and guilt, which, in turn, increase the expression of racially liberal attitudes and policy preferences. Taken as a whole, the findings have important implications for the existing literature on white racial attitudes, which remains overwhelmingly focused on negative or prejudicial intergroup orientations

    Urban Informatics

    Get PDF
    This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity

    Machine Learning

    Get PDF
    Machine Learning can be defined in various ways related to a scientific domain concerned with the design and development of theoretical and implementation tools that allow building systems with some Human Like intelligent behavior. Machine learning addresses more specifically the ability to improve automatically through experience
    • …
    corecore