Detecting Concept Drift With Neural Network Model Uncertainty

Deployed machine learning models are confronted with the problem of changing data over time, a phenomenon also called concept drift. While existing approaches of concept drift detection already show convincing results, they require true labels as a prerequisite for successful drift detection. Especially in many real-world application scenarios-like the ones covered in this work-true labels are scarce, and their acquisition is expensive. Therefore, we introduce a new algorithm for drift detection, Uncertainty Drift Detection (UDD), which is able to detect drifts without access to true labels. Our approach is based on the uncertainty estimates provided by a deep neural network in combination with Monte Carlo Dropout. Structural changes over time are detected by applying the ADWIN technique on the uncertainty estimates, and detected drifts trigger a retraining of the prediction model. In contrast to input data-based drift detection, our approach considers the effects of the current input data on the properties of the prediction model rather than detecting change on the input data only (which can lead to unnecessary retrainings). We show that UDD outperforms other state-of-the-art strategies on two synthetic as well as ten real-world data sets for both regression and classification tasks

“Landscapism” at the speed of light: darkness and illumination in motion

In conditions of darkness, how is landscape experienced when mediated by the artful staging of mass movement and artificial illumination? The article offers a response to this question of perception, phenomena and sensation, through culturally informed consideration of Speed of Light, a performance event staged in Holyrood Park, produced by arts charity NVA, during the 2012 Edinburgh International Festival. Speed of Light was a large-scale, open-air public artwork, illuminating the form and motion of walkers and runners, fusing the role of performer and spectator. Following an introduction to the event's design and delivery, and consideration of recent literatures on spaces of darkness and the illumination of landscape in contemporary social life, the authors describe and explain their respective roles as participating walker and runner in Speed of Light, and offer a series of participant-informed interpretations. Observations arising from the social experience of darkness, illumination and motion, lead to closing reflections on what is termed “landscapism”. Landscapism, a sensibility encapsulated in Speed of Light, is suggested as a transporting and enchanting affect achieved by estranging the expected encounter with topography and atmosphere. It is a staged sensibility that dramatizes the experience of looking at, listening to and feeling for the temporary transformation of landscape