Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Maximum Margin Separations in Finite Closure Systems
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v3-stream-016-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v3-stream-016-alpha.b-cdn.net
      • sl-yoda-v3-stream-016-beta.b-cdn.net
      • 1504562137.rsc.cdn77.org
      • 1896834465.rsc.cdn77.org
      • Subtitles
      • Off
      • English
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            Maximum Margin Separations in Finite Closure Systems
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Maximum Margin Separations in Finite Closure Systems

            Sep 14, 2020

            Sprecher:innen

            FS

            Florian Seiffarth

            Sprecher:in · 0 Follower:innen

            TH

            Tamás Horváth

            Sprecher:in · 0 Follower:innen

            SW

            Stefan Wrobel

            Sprecher:in · 0 Follower:innen

            Organisator

            E2
            E2

            ECML-PKDD 2020

            Konto · 255 Follower:innen

            Kategorien

            Mathematik

            Kategorie · 2,4k Präsentationen

            KI und Datenwissenschaft

            Kategorie · 10,8k Präsentationen

            Über ECML-PKDD 2020

            The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases will take place from the 14nd to the 18nd of September 2020. ECML-PKDD is the premier European machine learning and data mining conference and builds upon over 18 years of successful events and conferences held across Europe.

            Gefällt euch das Format? Vertraut auf SlidesLive, um euer nächstes Event festzuhalten!

            Professionelle Aufzeichnung und Livestreaming – weltweit.

            Freigeben

            Empfohlene Videos

            Präsentationen, deren Thema, Kategorie oder Sprecher:in ähnlich sind

            Off-the-grid: fast and effective hyperparameter search for kernel clustering
            15:47

            Off-the-grid: fast and effective hyperparameter search for kernel clustering

            Bruno Ordozgoiti, …

            E2
            E2
            ECML-PKDD 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Interpretable privacy with optimizable utility
            16:44

            Interpretable privacy with optimizable utility

            Moitree Basu, …

            E2
            E2
            ECML-PKDD 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            On Saliency Maps and Adversarial Robustness
            17:28

            On Saliency Maps and Adversarial Robustness

            Puneet Mangla, …

            E2
            E2
            ECML-PKDD 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 1 = 0.1%

            EgoMap: Projective mapping and structured egocentric memory for Deep RL
            11:13

            EgoMap: Projective mapping and structured egocentric memory for Deep RL

            Edward Beeching, …

            E2
            E2
            ECML-PKDD 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Mining Dense Subgraphs with Similar Edges
            17:25

            Mining Dense Subgraphs with Similar Edges

            Polina Rozenshtein, …

            E2
            E2
            ECML-PKDD 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Interessiert an Vorträgen wie diesem? ECML-PKDD 2020 folgen