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What and Who
Title:Epsilon ID's and the double sampling argument
Speaker:Shay Moran
coming from:Max-Planck-Institut für Informatik - D1
Speakers Bio:
Event Type:Lecture
Visibility:D1, D2, D3, D4, D5, RG1, SWS, MMCI
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Level:AG Audience
Date, Time and Location
Date:Thursday, 17 July 2014
Duration:60 Minutes
Building:E1 4
I will introduce the concept of Epsilon ID's (a.k.a Epsilon-nets)

and discuss the fundamental connection of it
with PAC learnability.

This connection is usually established via the
Vapnik-Chervonenkis dimension (VC dimension).
However, in this talk we will abstract away the definition
of the VC dimension and we will show that instead of the VC dimension
one can use any complexity measure
which is defined on sets of boolean functions and possesses
two, rather natural, properties.

The lecture will be self-contained and will take roughly 1 hour.

Name(s):Shay Moran
Video Broadcast
Video Broadcast:NoTo Location:
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Attachments, File(s):
  • Shay Moran, 07/15/2014 08:46 AM -- Created document.