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What and Who
Title:Team Selection for Prediction Tasks
Speaker:Azin Ghazimatin
coming from:Sharif University of Technology
Speakers Bio:
Event Type:PhD Application Talk
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Language:English
Date, Time and Location
Date:Monday, 4 May 2015
Time:09:15
Duration:75 Minutes
Location:SaarbrĂĽcken
Building:E1 4
Room:024
Abstract
Given an event O and a set of experts E, we describe a method for finding a subset of experts S whose aggregated opinions best predict the outcome of O. Therefore, the problem can be regarded as team formation for performing a prediction task. In order to estimate competency of each team we propose measure Sum Squared Error which uses experts’ records of predictions during past k days. For simplicity, opinion pooling is selected as the method of information aggregation. We prove in case of simple averaging of opinions, finding best team is NP-hard. We suggest some rounding and heuristic algorithms for finding near optimal solutions. Simulation results show that a variation of Tabu search used for solving maximum clique, works effectively for team selection problem.
Contact
Name(s):Jennifer Gerling
Phone:1800
EMail:--email address not disclosed on the web
Video Broadcast
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Created by:Jennifer Gerling/MPI-INF, 05/02/2015 06:57 PMLast modified by:Uwe Brahm/MPII/DE, 11/24/2016 04:13 PM
  • Jennifer Gerling, 05/02/2015 06:59 PM -- Created document.