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UID:536@lincs.fr
DTSTART;TZID=Europe/Paris:20200304T110000
DTEND;TZID=Europe/Paris:20200304T120000
DTSTAMP:20200303T085743Z
URL:https://www.lincs.fr/events/rare-geometries-revealing-rare-categories-
 via-dimension-driven-statistics/
SUMMARY:Rare geometries: revealing rare categories via dimension-driven
 statistics
DESCRIPTION:In many situations\, classes of data points of primary interest
 also happen to be those that are least numerous. A well-known example is
 detection of fraudulent transactions among the collection of all financial
 transactions\, the vast majority of which are legitimate. These types of
 problems fall under the label of ‘rare-category detection. There are two
 challenging aspects of these problems. The first is a general lack of
 labeled examples of the rare class and the second is the potential
 non-separability of the rare class from the majority (in terms of available
 features). Statistics related to the geometry of the rare class (such as
 its intrinsic dimension) can be significantly different from those for the
 majority class\, reflecting the different dynamics driving variation in the
 different classes. In this paper we present a new supervised learning
 algorithm that uses a dimension-driven statistic\, called the
 kappa-profile\, to determine whether unlabeled points belong to a rare
 class. Our algorithm requires very few labeled examples and is invariant
 with respect to translation so that it performs equivalently on both
 separable and non-separable classes.\n\nReference: Rare geometries:
 revealing rare categories via dimension-driven statistics\, Henry Kvinge\,
 Elin Farnell\, Jingya Li\, Yujia Chen\, 2019.
CATEGORIES:Network Theory,Working Group
LOCATION:Paris-Rennes Room (EIT Digital)\, 23 avenue d'Italie\, 75013
 Paris\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23 avenue d'Italie\, 75013
 Paris\, France;X-APPLE-RADIUS=100;X-TITLE=Paris-Rennes Room (EIT
 Digital):geo:0,0
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:STANDARD
DTSTART:20191027T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
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