Valda — Value from data
Presentation
Seminar
Members
Publications
Valda Seminar: Arnab Bhattacharyya
Postponed. ENS, S16. On Approximating Total Variation Distance Abstract: Total variation distance (TV distance) is a fundamental notion of distance between probability distributions. we introduce and study the problem of computing the TV distance between two product distributions over the domain {0,1}^n. In particular, we establish the following results. The…
Valda Seminar: Lucas Larroque
26 May 2023, 10:30-11:30. ENS, S16. Normalisations of Existential Rules: Not so Innocuous! Existential rules are an expressive knowledge representation language mainly developed to query data. In the literature, they are often supposed to be in some normal form that simplifies technical developments. For instance, a common assumption is that…
PhD Defense Rehearsal: Shufan Jiang
12 December 2022, 14:00-15:30. ENS, Hauts du DI. Intégration de données textuelles pour la détection des risques naturels en agriculture Agriculture is entering the digital age through data (which opens up precision agriculture) or knowledge (which opens up new decision support tools). Modern technologies and IoT devices have been applied…
Valda Seminar: Paul Boniol
28 November 2022, 14:00-15:00. ENS, S16. Detection of Anomalies and Identification of their Precursors in Large Data Series Collections Extensive collections of data series are becoming a reality in many scientific and social domains, such as environmental sciences, astrophysics, neurosciences, and engineering. Informally, a data series is an ordered sequence…
